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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 7276
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    Explanations

    detailed descriptions or explanations within a text

    oai_token-act-pair · gpt-3.5-turbo

    words that describe detailed accounts or descriptions of events and topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     weak
    -0.62
    hit
    -0.61
    erk
    -0.58
    cakes
    -0.58
    Mu
    -0.56
     gamble
    -0.56
    kus
    -0.56
    EG
    -0.56
    GG
    -0.55
     eat
    -0.55
    POSITIVE LOGITS
     detailing
    3.43
     outlining
    2.25
     documenting
    1.59
     detail
    1.55
     describing
    1.51
     highlighting
    1.40
     explaining
    1.36
     showcasing
    1.34
     depicting
    1.34
     illustrating
    1.34
    Activations Density 0.018%

    No Known Activations