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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. 10-RES-JB
    11. 21565
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    Explanations

    mentions or references to other content or information in a document

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "here."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     diapers
    -0.65
    opoulos
    -0.61
     tongues
    -0.61
     uptake
    -0.60
     judgement
    -0.59
     ceilings
    -0.59
     consequence
    -0.57
     impression
    -0.56
    omore
    -0.56
    zinski
    -0.56
    POSITIVE LOGITS
    tical
    1.19
    abouts
    1.18
    tics
    1.09
    tic
    0.92
     https
    0.88
     âĸº
    0.86
    :
    0.85
     http
    0.85
     âĨij
    0.79
     .)
    0.79
    Activations Density 0.036%

    No Known Activations