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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
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    Explanations

    the word "Bad" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    the term "Bad" in various contexts

    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
    ittee
    -0.76
    ĸļ
    -0.76
    ktop
    -0.75
    iveness
    -0.73
    illation
    -0.73
    ournal
    -0.68
    orthy
    -0.68
    ymph
    -0.68
    hens
    -0.66
    hower
    -0.65
    POSITIVE LOGITS
    Bad
    0.95
     Bad
    0.94
    bad
    0.93
    ges
    0.90
    ger
    0.90
    gers
    0.87
    dest
    0.86
     BAD
    0.83
    die
    0.83
    ged
    0.78
    Activations Density 0.006%

    No Known Activations