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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. 5108
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    INDEX
    Explanations

    percentages and numerical values followed by specific time frames

    oai_token-act-pair · gpt-3.5-turbo

    representations of numerical data and statistics

    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
    CHAT
    -0.57
     Cosponsors
    -0.53
     Advice
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     Anime
    -0.51
    ORK
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    UGC
    -0.49
     tempting
    -0.49
    ITCH
    -0.49
    itching
    -0.48
     voic
    -0.48
    POSITIVE LOGITS
    .).
    1.10
    %).
    0.95
    ).
    0.91
    >.
    0.91
    ).[
    0.91
    )).
    0.89
    )."
    0.84
    ]."
    0.84
    ]).
    0.82
    ?).
    0.81
    Activations Density 1.167%

    No Known Activations