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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. 1626
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    keywords related to iteration and repetitive processes

    oai_token-act-pair · gpt-3.5-turbo

    terms related to iteration and iterative processes

    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
    FACE
    -0.85
    light
    -0.74
    lights
    -0.72
    creen
    -0.68
     jelly
    -0.67
    lighting
    -0.66
     Aram
    -0.65
    names
    -0.64
     Unic
    -0.64
    AME
    -0.63
    POSITIVE LOGITS
     iter
    1.07
     Iter
    0.91
     iteration
    0.83
     iterations
    0.83
    atively
    0.80
    ival
    0.79
    uably
    0.76
    ileaks
    0.73
    ators
    0.72
    Iter
    0.71
    Activations Density 0.013%

    No Known Activations