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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. 3-RES-JB
    11. 9686
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    acronyms or abbreviations related to organizations and entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ©
    -0.81
     ILCS
    -0.68
    --------------------------------------------------------
    -0.68
    dri
    -0.65
    ãĥł
    -0.64
    hold
    -0.64
    taboola
    -0.63
     Allaah
    -0.63
    âĢ¢âĢ¢
    -0.63
     istg
    -0.62
    POSITIVE LOGITS
    HS
    0.97
    vantage
    0.91
    igger
    0.86
    Ds
    0.82
    SE
    0.79
    GS
    0.78
    DERR
    0.77
    BG
    0.77
    HL
    0.77
    OPS
    0.76
    Activations Density 0.170%

    No Known Activations