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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. 3693
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    INDEX
    Explanations

    information related to measurements such as dimensions, weight, and size

    oai_token-act-pair · gpt-3.5-turbo

    dimensions, weights, and measurements related to objects

    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
     reinstated
    -0.69
    isode
    -0.66
    cknow
    -0.60
    oken
    -0.60
    onet
    -0.59
    luaj
    -0.58
    invoke
    -0.58
    oner
    -0.58
    rupted
    -0.58
    theme
    -0.58
    POSITIVE LOGITS
     weighs
    0.89
     diameter
    0.80
     circumference
    0.78
     Dimensions
    0.78
    iameter
    0.76
     vert
    0.74
     distances
    0.74
    ifice
    0.73
     coils
    0.71
     lbs
    0.70
    Activations Density 0.298%

    No Known Activations