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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. 13644
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    Explanations

    words related to transformations or changes

    oai_token-act-pair · gpt-3.5-turbo

    negative connotations or themes

    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
     Patron
    -0.72
     Wyn
    -0.65
     Sawyer
    -0.63
     endors
    -0.62
     RBI
    -0.61
     sr
    -0.60
    ogle
    -0.60
     Imran
    -0.60
     Bagg
    -0.59
     aboard
    -0.58
    POSITIVE LOGITS
    division
    0.97
    based
    0.97
    level
    0.96
    sized
    0.95
    factor
    0.92
    of
    0.92
    scale
    0.92
    tier
    0.91
    cutting
    0.89
    tree
    0.89
    Activations Density 0.141%

    No Known Activations