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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. 3-RES-JB
    11. 5121
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    Explanations

    references to full-time employment or positions

    oai_token-act-pair · gpt-3.5-turbo

    references to "full-time" positions or employment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    agra
    -0.83
     tremend
    -0.81
    ramid
    -0.79
    aceous
    -0.79
     tomat
    -0.77
    riks
    -0.74
    amar
    -0.74
    amara
    -0.73
    riad
    -0.71
    het
    -0.70
    POSITIVE LOGITS
     Bucc
    0.86
    frames
    0.83
    frame
    0.75
     ago
    0.69
    llor
    0.69
    outs
    0.68
    borne
    0.67
    etheless
    0.66
    batch
    0.66
    standing
    0.66
    Activations Density 0.029%

    No Known Activations