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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 11-RES-JB
    11. 13441
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    Explanations

    information related to expected decisions or outcomes, particularly pointing towards the timing and importance of these events

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to expectations and upcoming decisions or outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Reincarnated
    -0.72
     destro
    -0.68
     prank
    -0.63
     busted
    -0.62
    ombat
    -0.62
     victimized
    -0.60
     fors
    -0.59
    SPONSORED
    -0.58
    gling
    -0.58
     overpower
    -0.58
    POSITIVE LOGITS
     tomorrow
    1.01
     next
    0.98
    nesday
    0.93
     later
    0.93
     soon
    0.91
     sometime
    0.90
    soon
    0.83
     quarterly
    0.81
     chaired
    0.80
     Wednesday
    0.80
    Activations Density 0.293%

    No Known Activations