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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. 10-RES-JB
    6. 5160
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    INDEX
    Explanations

    phrases related to what can be done or expected in different situations

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating capability or potential actions

    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
     greeted
    -0.62
     Cheong
    -0.60
     Lauder
    -0.59
     froze
    -0.59
    rique
    -0.58
    eur
    -0.58
     deteriorated
    -0.57
    updated
    -0.57
    rer
    -0.57
    ccording
    -0.57
    POSITIVE LOGITS
    't
    1.47
     afford
    1.08
     realistically
    0.96
     feas
    0.95
     expect
    0.95
    NOT
    0.93
     accomplish
    0.92
     muster
    0.88
    ADA
    0.88
     achieve
    0.86
    Activations Density 0.067%

    No Known Activations