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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. 3-RES-JB
    11. 24280
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    Explanations

    numerical values in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of a specific numeric sequence or identifier format

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    holders
    -0.73
    gets
    -0.69
    soever
    -0.69
    sworth
    -0.68
     locality
    -0.68
    seeing
    -0.67
    matic
    -0.67
     traged
    -0.67
    eki
    -0.67
     nationalists
    -0.66
    POSITIVE LOGITS
    765
    0.92
    999
    0.91
    808
    0.84
    90
    0.83
    80
    0.83
    65
    0.81
    152
    0.80
    98
    0.79
    ZX
    0.79
    97
    0.79
    Activations Density 0.024%

    No Known Activations