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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. 6788
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    Explanations

    instances of actions or events being performed

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "made" 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
     stripes
    -0.67
     stripe
    -0.67
     conditioning
    -0.64
    Thom
    -0.61
    ses
    -0.60
    bour
    -0.60
     herbs
    -0.59
     Bourbon
    -0.58
    sit
    -0.57
     greens
    -0.57
    POSITIVE LOGITS
     sure
    0.90
    ailable
    0.84
    acted
    0.78
    dinand
    0.77
    ventus
    0.76
    solete
    0.76
    roid
    0.74
    unal
    0.73
    netflix
    0.73
    eping
    0.73
    Activations Density 0.035%

    No Known Activations