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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. 7-RES-JB
    11. 8953
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ¼ãĤ¦ãĤ¹
    -0.74
    ĻĤ
    -0.72
     compr
    -0.71
     bom
    -0.71
     livest
    -0.71
    igsaw
    -0.70
    akia
    -0.69
     Schne
    -0.65
    accompan
    -0.64
    querque
    -0.63
    POSITIVE LOGITS
    backs
    0.98
    heet
    0.92
     levied
    0.88
    payers
    0.82
    eters
    0.79
    umers
    0.78
    charges
    0.76
    abilities
    0.73
     charges
    0.71
    umes
    0.71
    Activations Density 0.034%

    No Known Activations