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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. 2-RES-JB
    11. 15526
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    Explanations

    words related to specific occupations or places, particularly those with potential negative connotations

    oai_token-act-pair · gpt-3.5-turbo

    words and terms related to various forms of games and social activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wal
    -0.54
     Others
    -0.50
    mac
    -0.47
     WCS
    -0.46
     Nath
    -0.45
     Nec
    -0.45
     SEN
    -0.44
     KR
    -0.43
     Faster
    -0.43
     RH
    -0.43
    POSITIVE LOGITS
    eers
    0.70
    Initialized
    0.61
    odge
    0.57
    Redditor
    0.57
    rarily
    0.53
    ItemTracker
    0.53
    uese
    0.52
    foundland
    0.51
    anners
    0.51
    èĢħ
    0.51
    Activations Density 0.735%

    No Known Activations