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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. 6-RES-JB
    11. 10847
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    INDEX
    Explanations

    occurrences of adjectives related to thickness

    oai_token-act-pair · gpt-3.5-turbo

    words related to the concept of thickness in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FAULT
    -0.73
     Million
    -0.68
    pheus
    -0.67
    DB
    -0.65
     starring
    -0.65
    instead
    -0.64
    CB
    -0.64
    %]
    -0.64
    endants
    -0.64
     Voters
    -0.63
    POSITIVE LOGITS
    ened
    1.31
    ening
    1.31
    nesses
    1.22
    ly
    1.03
    ness
    1.03
    ener
    1.01
    layer
    0.95
    entimes
    0.95
    idious
    0.93
    ciating
    0.93
    Activations Density 0.021%

    No Known Activations