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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. 6463
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    Explanations

    specific parts or locations within a larger context

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating parts of a whole or specific segments within a larger context

    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
     teasp
    -0.75
    SCP
    -0.73
     recip
    -0.71
    Sov
    -0.69
    ĸļ
    -0.67
    ************
    -0.67
    senal
    -0.66
    ÃĥÃĤ
    -0.65
     misunder
    -0.65
    ħĭ
    -0.63
    POSITIVE LOGITS
    course
    0.77
    town
    0.68
     town
    0.65
    oak
    0.63
    insula
    0.63
    ordinate
    0.63
     everyday
    0.60
     course
    0.60
    processing
    0.59
    erville
    0.59
    Activations Density 0.176%

    No Known Activations