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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. 23040
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    Explanations

    words related to rebranding and reevaluation

    oai_token-act-pair · gpt-3.5-turbo

    terms related to branding, revision, and reidentification processes

    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
     Kear
    -0.63
    ulhu
    -0.63
     Huntington
    -0.59
    ANY
    -0.59
     Lily
    -0.57
    rican
    -0.57
    Lago
    -0.57
     Sop
    -0.56
     unsur
    -0.55
    elo
    -0.55
    POSITIVE LOGITS
    issance
    1.32
    xual
    0.99
    itory
    0.97
    ction
    0.93
    rarily
    0.83
    ctions
    0.82
    eval
    0.82
    essional
    0.80
    isance
    0.78
    peat
    0.76
    Activations Density 0.068%

    No Known Activations