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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. 1-RES-JB
    11. 16160
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to limitations or restrictions on access or rights

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dirt
    -0.85
     Chemistry
    -0.83
     Fault
    -0.82
    FORE
    -0.78
    git
    -0.74
    story
    -0.74
     Suc
    -0.74
     Dust
    -0.73
     Lakes
    -0.73
    eon
    -0.72
    POSITIVE LOGITS
     restricts
    1.20
     restricting
    1.19
    ĸļ
    1.09
     restriction
    1.05
     restrict
    1.03
     restrictive
    1.01
    ricted
    1.01
     restricted
    1.00
     restrictions
    0.99
     limiting
    0.97
    Activations Density 0.009%

    No Known Activations