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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. 8862
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    Explanations

    technical specifications and details

    oai_token-act-pair · gpt-3.5-turbo

    quantitative measures and specifications related to technical products or features

    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
    omething
    -0.72
    ische
    -0.69
    hap
    -0.67
    ãĥīãĥ©ãĤ´ãĥ³
    -0.67
    bnb
    -0.66
    ulously
    -0.66
    ivably
    -0.65
    æĺ¯
    -0.64
    ãĤ¶
    -0.64
    ktop
    -0.63
    POSITIVE LOGITS
     --------------------
    0.82
     Ability
    0.71
     Healer
    0.68
     ----------------
    0.67
     guiActiveUnfocused
    0.66
     Boko
    0.64
     âĵĺ
    0.63
     Grants
    0.61
    malink
    0.61
     Various
    0.61
    Activations Density 0.786%

    No Known Activations