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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. 17829
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    Explanations

    words related to neglect and negligence

    oai_token-act-pair · gpt-3.5-turbo

    terms related to neglect and negligence

    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
    areth
    -0.74
    furt
    -0.68
    CHAT
    -0.67
    soType
    -0.66
    Rank
    -0.65
    Streamer
    -0.63
    Flo
    -0.62
    SW
    -0.60
     Allaah
    -0.59
    Jr
    -0.59
    POSITIVE LOGITS
    luster
    0.85
    icit
    0.82
     miser
    0.80
    ful
    0.77
    reated
    0.74
    reatment
    0.73
    WARE
    0.73
    heast
    0.72
    lect
    0.71
    ufficient
    0.68
    Activations Density 0.067%

    No Known Activations