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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. 3866
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    Explanations

    words related to negative behavior or characteristics, particularly those related to diminishing someone's worth or status

    oai_token-act-pair · gpt-3.5-turbo

    terms related to legal categorizations of offenses and social issues

    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
    ulent
    -0.84
    acters
    -0.77
    cler
    -0.77
    fman
    -0.76
    ingen
    -0.75
    cream
    -0.74
    prus
    -0.74
    tery
    -0.72
    idding
    -0.72
    clerosis
    -0.72
    POSITIVE LOGITS
    ors
    0.88
    ours
    0.83
    OPLE
    0.74
    ORS
    0.74
    uploads
    0.73
    our
    0.72
    ctr
    0.69
    çī
    0.68
    OUR
    0.68
    ploy
    0.66
    Activations Density 0.089%

    No Known Activations