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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. 6-RES-JB
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    Explanations

    language related to negative and harmful situations or actions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "vicious" and related contexts suggesting aggression or hostility

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ITNESS
    -0.87
    brance
    -0.81
    ourced
    -0.80
    ĸļ
    -0.80
    mberg
    -0.80
    avez
    -0.79
    ovember
    -0.79
    gdala
    -0.77
    onement
    -0.77
    agine
    -0.76
    POSITIVE LOGITS
    ly
    1.40
    nesses
    0.99
    ness
    0.95
    icious
    0.84
     vicious
    0.81
     retribution
    0.79
     circle
    0.79
    ãĥ¼ãĥĨãĤ£
    0.78
     assault
    0.73
    soever
    0.70
    Activations Density 0.038%

    No Known Activations