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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. 1-RES-JB
    11. 23992
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    Explanations

    keywords related to common or essential items or things

    oai_token-act-pair · gpt-3.5-turbo

    terms related to staple foods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vernment
    -0.87
    hani
    -0.82
    hap
    -0.81
    odore
    -0.79
    irlf
    -0.76
    hid
    -0.75
    oping
    -0.73
    ammers
    -0.73
    apego
    -0.71
    atti
    -0.70
    POSITIVE LOGITS
     staple
    1.22
     staples
    1.20
    ãĤ´
    0.83
    stay
    0.74
    ãĤ¢ãĥ«
    0.74
    ãĥ¢
    0.73
    weights
    0.72
    fields
    0.70
    é¾įå¥ij士
    0.69
    ãĥ¯ãĥ³
    0.68
    Activations Density 0.007%

    No Known Activations