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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. 4130
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    Explanations

    words related to excessive consumption or indulgence in activities

    oai_token-act-pair · gpt-3.5-turbo

    words and patterns related to binge activities, especially binge-watching or binge-drinking

    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
    ioned
    -0.75
    animous
    -0.75
    adal
    -0.66
    iona
    -0.65
    UTION
    -0.63
    CLOSE
    -0.62
     instantaneous
    -0.61
    iyah
    -0.61
    SEC
    -0.61
    IB
    -0.60
    POSITIVE LOGITS
    inge
    1.23
    ;;;;;;;;;;;;
    0.84
     Peaks
    0.76
    verse
    0.75
    Wallet
    0.74
    wallet
    0.69
     Fein
    0.68
     creeps
    0.68
    xt
    0.66
    jriwal
    0.66
    Activations Density 0.010%

    No Known Activations