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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. 14562
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    INDEX
    Explanations

    positive reactions and responses in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to feedback and responses to events

    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
     gamb
    -0.73
     unsolved
    -0.72
    bis
    -0.72
    illac
    -0.66
     2024
    -0.64
     loophole
    -0.64
     theorem
    -0.64
     CFR
    -0.64
     2030
    -0.64
     backup
    -0.63
    POSITIVE LOGITS
     overwhelmingly
    1.22
     reactions
    1.18
     outp
    1.12
     enthusiastic
    1.09
     responses
    1.04
     reception
    1.02
     reaction
    1.01
     positive
    1.01
     response
    0.97
     supportive
    0.97
    Activations Density 0.292%

    No Known Activations