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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. 4-RES-JB
    11. 24150
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    Explanations

    the word "Molly" with varying activation strengths

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Molly" in various contexts

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

    No Comments

    Negative Logits
    ially
    -0.86
    rir
    -0.85
    arian
    -0.82
    arians
    -0.79
    ault
    -0.77
    ription
    -0.76
    ional
    -0.76
    ials
    -0.76
    rival
    -0.72
    ital
    -0.72
    POSITIVE LOGITS
    olly
    0.86
     Jolly
    0.84
    mph
    0.82
    hurst
    0.82
    nergy
    0.80
     Gib
    0.75
     Cly
    0.72
     mamm
    0.70
     Greenwood
    0.70
     Clever
    0.69
    Activations Density 0.013%

    No Known Activations