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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. 7700
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    INDEX
    Explanations

    names of people or entities

    oai_token-act-pair · gpt-3.5-turbo

    names of people and references to conversations

    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
    Pg
    -0.63
    Wr
    -0.59
     bets
    -0.59
    ptions
    -0.57
     Cf
    -0.56
    =$
    -0.54
    bec
    -0.53
    }"
    -0.53
    IDS
    -0.53
     citation
    -0.53
    POSITIVE LOGITS
     about
    1.58
     ABOUT
    1.39
    about
    1.27
     About
    1.18
     regarding
    1.16
     concerning
    1.04
    About
    0.99
     privately
    0.85
     extensively
    0.83
     directly
    0.82
    Activations Density 0.344%

    No Known Activations