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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. 7-RES-JB
    11. 12502
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    warnings about explicit or graphic content in media

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inguished
    -0.71
    luaj
    -0.69
    Redditor
    -0.68
    sonian
    -0.67
    elligent
    -0.66
    Hon
    -0.66
    annie
    -0.65
     srfAttach
    -0.65
    SPONSORED
    -0.64
    itage
    -0.63
    POSITIVE LOGITS
     *)
    0.94
     spoilers
    0.91
     assumes
    0.84
    !]
    0.84
    OIL
    0.83
     ALWAYS
    0.83
     .)
    0.79
     formatting
    0.76
    )*
    0.76
     RAW
    0.76
    Activations Density 0.346%

    No Known Activations