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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. 1-RES-JB
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    Explanations

    the word "tit" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "tit" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Conduct
    -0.71
    Downloadha
    -0.71
    OURCE
    -0.67
    PRES
    -0.65
    interrupted
    -0.65
    FORMATION
    -0.64
    âĸ¬
    -0.63
    ctic
    -0.62
    bleacher
    -0.61
    INTER
    -0.61
    POSITIVE LOGITS
     tit
    1.09
    tle
    0.86
    araoh
    0.85
    aunts
    0.84
    anic
    0.82
    enance
    0.80
    gey
    0.80
    warts
    0.78
    acious
    0.78
    anus
    0.77
    Activations Density 0.007%

    No Known Activations