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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. 1-RES-JB
    11. 10316
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    Explanations

    phrases related to isolating or separating things from a larger group

    oai_token-act-pair · gpt-3.5-turbo

    terms related to isolation and segregation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    jriwal
    -0.81
    ember
    -0.80
    */(
    -0.70
    apan
    -0.69
    etheus
    -0.66
    yrus
    -0.66
    inez
    -0.65
    ocaust
    -0.64
    pmwiki
    -0.63
     Employees
    -0.63
    POSITIVE LOGITS
    olate
    0.89
     isolate
    0.77
    iven
    0.76
    oute
    0.73
    sym
    0.73
    ĨĴ
    0.71
    opsis
    0.68
    /+
    0.65
    qqa
    0.65
    knit
    0.65
    Activations Density 0.030%

    No Known Activations