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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. 18714
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    Explanations

    the word "throw" and its variations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "throw" and its variants

    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
    lied
    -0.74
    cream
    -0.73
    bourg
    -0.69
    olitan
    -0.66
    éĸ
    -0.66
    resident
    -0.64
    Upload
    -0.63
    pher
    -0.63
    onymous
    -0.62
     unfocusedRange
    -0.62
    POSITIVE LOGITS
     overboard
    1.16
    away
    1.02
     grenades
    0.90
     caution
    0.90
     darts
    0.88
    throw
    0.86
    aways
    0.85
     tant
    0.84
    tails
    0.83
     thrown
    0.81
    Activations Density 0.039%

    No Known Activations