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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. 9029
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    Explanations

    phrases related to taking specific actions or following a sequence of steps

    oai_token-act-pair · gpt-3.5-turbo

    references to actionable steps or procedures

    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
    ILLE
    -0.83
    olls
    -0.69
    ruciating
    -0.69
    inately
    -0.67
     Corpus
    -0.64
    versely
    -0.62
    ores
    -0.61
     Bound
    -0.59
    lict
    -0.57
     LIMITED
    -0.57
    POSITIVE LOGITS
     steps
    1.27
     Steps
    1.25
    steps
    1.14
    Step
    1.03
    step
    0.99
    daughter
    0.99
    DragonMagazine
    0.88
    iblings
    0.88
     step
    0.88
    dad
    0.81
    Activations Density 0.011%

    No Known Activations