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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. 17405
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    INDEX
    Explanations

    phrases related to significant events or decisions

    oai_token-act-pair · gpt-3.5-turbo

    references to significant violations or commitments

    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
     Whedon
    -0.88
     Fallon
    -0.85
    maxwell
    -0.84
     Simmons
    -0.83
     Slate
    -0.79
     Staten
    -0.76
    ritch
    -0.75
     Fitz
    -0.75
    twitch
    -0.73
     Summers
    -0.73
    POSITIVE LOGITS
     provocation
    1.20
     situation
    1.20
     programme
    1.16
     pretext
    1.15
     manoeuv
    1.12
     evid
    1.09
     condition
    1.06
     impression
    1.06
     attitude
    1.05
     favourable
    1.04
    Activations Density 0.575%

    No Known Activations