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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. 6-RES-JB
    11. 2880
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    Explanations

    terms related to the continuation or persistence of a trend or action

    oai_token-act-pair · gpt-3.5-turbo

    terms related to ongoing trends or continuations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ortment
    -0.75
    onomic
    -0.74
    ramid
    -0.68
    acus
    -0.68
    iah
    -0.66
    ersive
    -0.66
    ools
    -0.65
    dinand
    -0.64
    haps
    -0.64
    tein
    -0.64
    POSITIVE LOGITS
     unanswered
    0.79
    igmatic
    0.76
     throughout
    0.75
     unchanged
    0.72
     unresolved
    0.72
     uninterrupted
    0.70
     Nationwide
    0.68
     unab
    0.68
     until
    0.68
     intact
    0.67
    Activations Density 0.089%

    No Known Activations