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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. 0-RES-JB
    11. 1954
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    Explanations

    detailed descriptions or explanations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "detail" in various contexts

    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
    llor
    -0.73
    ands
    -0.66
    ammers
    -0.65
    paces
    -0.64
    Cola
    -0.62
    ost
    -0.62
    CHA
    -0.62
    ycle
    -0.60
    hare
    -0.60
    Safe
    -0.59
    POSITIVE LOGITS
     detail
    4.08
     Detail
    2.61
    detail
    2.36
     details
    2.18
     specifics
    1.61
     nuance
    1.59
     Details
    1.56
     detailed
    1.56
    Details
    1.54
     detailing
    1.53
    Activations Density 0.012%

    No Known Activations