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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. 17336
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    Explanations

    verbs related to actions or requirements

    oai_token-act-pair · gpt-3.5-turbo

    expressions concerning the requirement or effort needed to achieve something

    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
    luster
    -0.68
    etheless
    -0.67
    ateg
    -0.66
    ahime
    -0.66
     agre
    -0.65
    Ń·
    -0.65
    arbon
    -0.64
    \\\\\\\\
    -0.64
    idden
    -0.64
     convol
    -0.62
    POSITIVE LOGITS
     to
    1.03
    to
    0.79
     TO
    0.75
     ta
    0.72
     To
    0.69
    TO
    0.61
    To
    0.61
     unto
    0.59
    IENCE
    0.56
     for
    0.56
    Activations Density 0.088%

    No Known Activations