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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. 18652
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    Explanations

    phrases indicating a decision or conclusion being made

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to determining possibilities or making judgments

    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
    issance
    -0.80
    rious
    -0.72
    ãĥ¼ãĥĨãĤ£
    -0.71
    ufact
    -0.70
    intage
    -0.68
    apest
    -0.67
    ription
    -0.66
     Pastebin
    -0.65
     ILCS
    -0.65
    ickr
    -0.65
    POSITIVE LOGITS
     out
    0.88
     against
    0.79
     decisively
    0.78
    atively
    0.76
     differently
    0.74
     definitively
    0.73
    phas
    0.72
    maker
    0.65
    istically
    0.65
    orously
    0.64
    Activations Density 0.046%

    No Known Activations