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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 10091
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    INDEX
    Explanations

    mentions of the word "soft" or "softness."

    oai_token-act-pair · gpt-3.5-turbo

    references to software-related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     anten
    -0.64
     Gavin
    -0.63
     adul
    -0.62
     Pluto
    -0.62
    aceous
    -0.62
     Icelandic
    -0.62
    Param
    -0.62
     Gle
    -0.61
    ãĤ¶
    -0.60
     Tasman
    -0.60
    POSITIVE LOGITS
    soft
    1.08
    sov
    0.96
    rene
    0.86
    xus
    0.85
    tek
    0.84
    lasses
    0.79
    weapons
    0.78
    hes
    0.77
    lus
    0.77
    ense
    0.77
    Activations Density 0.027%

    No Known Activations