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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. 17147
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    Explanations

    instances where something is being evaluated or assessed, typically related to performance or progress

    oai_token-act-pair · gpt-3.5-turbo

    metrics related to performance evaluation

    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
    Not in Any Lists

    No Comments

    Negative Logits
     hindsight
    -0.75
     )]
    -0.66
     foregoing
    -0.66
    iasco
    -0.63
    ¶ħ
    -0.63
     Revelations
    -0.62
    ossibility
    -0.62
     Confederation
    -0.60
    krit
    -0.59
    pret
    -0.59
    POSITIVE LOGITS
     incoming
    0.79
     corresponds
    0.78
     belong
    0.77
     belongs
    0.76
     nearby
    0.74
     particular
    0.71
     matches
    0.70
     items
    0.70
     strengths
    0.68
    're
    0.66
    Activations Density 0.249%

    No Known Activations