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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. 11814
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    Explanations

    phrases related to expressing or emphasizing a specific idea or concept

    oai_token-act-pair · gpt-3.5-turbo

    expressions of collective experiences or shared sentiments

    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
    sequ
    -0.72
    astical
    -0.65
    ournal
    -0.65
    rics
    -0.62
    icio
    -0.61
    orious
    -0.61
    orio
    -0.60
    claimed
    -0.60
    rities
    -0.59
    acies
    -0.57
    POSITIVE LOGITS
    liest
    0.70
    ioch
    0.69
    SourceFile
    0.66
     longest
    0.65
    _-_
    0.65
     behav
    0.64
    phal
    0.61
     exorc
    0.60
    hest
    0.59
    Alias
    0.58
    Activations Density 0.292%

    No Known Activations