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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. 9-RES-JB
    11. 16146
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    Explanations

    terms related to economic and political discussions

    oai_token-act-pair · gpt-3.5-turbo

    references to significant political events or figures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anguages
    -0.69
    "}],"
    -0.64
    anguage
    -0.63
    "},{"
    -0.63
    uers
    -0.62
    Others
    -0.60
    earch
    -0.57
    VERTISEMENT
    -0.56
     0004
    -0.55
    window
    -0.55
    POSITIVE LOGITS
     supposedly
    0.94
     horrend
    0.93
     basically
    0.90
     notoriously
    0.88
     rightfully
    0.87
     insanely
    0.87
     blatantly
    0.84
     horrendous
    0.83
     obviously
    0.83
     ostensibly
    0.82
    Activations Density 1.678%

    No Known Activations