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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. 4-RES-JB
    11. 15533
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    Explanations

    words associated with actions or decisions being taken

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating actions or decisions being made

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

    No Comments

    Negative Logits
     Tru
    -0.64
    warn
    -0.61
     tongues
    -0.60
    abet
    -0.60
    ²
    -0.59
     braces
    -0.58
    Own
    -0.57
     Columb
    -0.57
    pread
    -0.56
     Dreams
    -0.56
    POSITIVE LOGITS
    oner
    0.91
    zin
    0.88
    FTWARE
    0.86
    apy
    0.76
    oths
    0.72
    bered
    0.68
    otation
    0.67
    lla
    0.66
     abundantly
    0.65
    ----------------------------------------------------------------
    0.65
    Activations Density 0.030%

    No Known Activations