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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. 9-RES-JB
    11. 19449
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    INDEX
    Explanations

    adjectives and verbs related to evaluation and criticism

    oai_token-act-pair · gpt-3.5-turbo

    strong emotional or impactful descriptions related to negative experiences or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     teasp
    -0.81
    ãĥĻ
    -0.80
    ãĥİ
    -0.76
    ãĤ§
    -0.75
    obyl
    -0.71
    ãĥ¥
    -0.68
    rection
    -0.67
    ãĤ¦ãĤ¹
    -0.65
    ãĤ¤
    -0.65
    ãĥ£
    -0.65
    POSITIVE LOGITS
     policymakers
    0.74
     Lerner
    0.70
     Christensen
    0.69
     POLITICO
    0.66
     academia
    0.66
     Lowe
    0.66
     PowerPoint
    0.64
     lawmakers
    0.64
     legislators
    0.63
     CoC
    0.62
    Activations Density 1.098%

    No Known Activations