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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. 12269
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    Explanations

    phrases enclosed in quotation marks indicating specific terminology or expressions

    oai_token-act-pair · gpt-3.5-turbo

    quoted statements or phrases

    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
     dumps
    -0.74
     certain
    -0.73
     wipes
    -0.71
     few
    -0.68
     Chel
    -0.65
     gloss
    -0.65
     fixtures
    -0.65
     Chero
    -0.65
     Radar
    -0.64
     shops
    -0.64
    POSITIVE LOGITS
    interesting
    1.16
    alogue
    1.10
    open
    1.08
    extremely
    1.07
    agram
    1.06
    older
    1.04
    absolute
    1.04
    appropriate
    1.03
    aura
    1.03
    acceptable
    1.03
    Activations Density 0.043%

    No Known Activations