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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. 6-RES-JB
    6. 11919
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    Explanations

    capable of phrases, indicating abilities or functionalities

    oai_token-act-pair · gpt-3.5-turbo

    the word "capable" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ey
    -0.71
    cot
    -0.67
    cott
    -0.67
    mol
    -0.65
     Moz
    -0.63
    meric
    -0.62
    BA
    -0.61
    MY
    -0.61
     Von
    -0.60
     Schwarz
    -0.60
    POSITIVE LOGITS
    nesses
    0.92
    bodied
    0.90
    icient
    0.78
     imag
    0.75
    ufact
    0.72
     impairment
    0.72
    itude
    0.71
     enough
    0.70
     accompl
    0.69
    ioned
    0.68
    Activations Density 0.021%

    No Known Activations