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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. 8-RES-JB
    11. 24383
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    Explanations

    words related to capturing something, often in a physical or metaphorical sense

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "capture" and its variations related to seizing or documenting something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bye
    -0.74
    amily
    -0.72
    jab
    -0.71
     advised
    -0.64
    endix
    -0.63
    lease
    -0.63
     jo
    -0.63
    bard
    -0.62
    die
    -0.62
    iquette
    -0.60
    POSITIVE LOGITS
     Thumbnails
    0.78
    oufl
    0.76
     imag
    0.73
    phrase
    0.73
    racuse
    0.72
    ravings
    0.71
    alogue
    0.71
     captured
    0.71
    htaking
    0.70
    istics
    0.67
    Activations Density 0.033%

    No Known Activations