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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. 7-RES-JB
    11. 3865
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    Explanations

    numbers mentioned together

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "and."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    insula
    -0.79
    Phys
    -0.69
    oak
    -0.68
    dayName
    -0.67
    GREEN
    -0.66
    LAN
    -0.65
    odcast
    -0.64
    OTA
    -0.64
    ancial
    -0.64
    vP
    -0.63
    POSITIVE LOGITS
    rogens
    0.90
     counting
    0.80
     onward
    0.77
    rew
    0.77
    rogen
    0.76
     then
    0.73
     onwards
    0.72
     therefore
    0.72
     ½
    0.67
     inclusive
    0.66
    Activations Density 0.141%

    No Known Activations