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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. 18945
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    implications of actions or situations that lead to consequences

    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
    zag
    -0.74
    ranean
    -0.71
    gest
    -0.68
    Forward
    -0.68
    Correct
    -0.67
    Gre
    -0.67
    CLASSIFIED
    -0.66
    qua
    -0.65
    YD
    -0.65
    Merc
    -0.64
    POSITIVE LOGITS
     suddenly
    0.95
     mirac
    0.87
     somehow
    0.86
     magically
    0.86
     pretending
    0.80
     THEN
    0.77
     crappy
    0.71
     wanting
    0.71
     decides
    0.70
     somebody
    0.70
    Activations Density 0.881%

    No Known Activations