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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. 0-RES-JB
    11. 10028
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    Explanations

    numerical values related to temperature

    oai_token-act-pair · gpt-3.5-turbo

    numerical values related to measurements or statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     recourse
    -0.67
     Levant
    -0.66
     distributed
    -0.65
     thank
    -0.64
    inate
    -0.61
     pill
    -0.60
    yles
    -0.60
     piping
    -0.60
     denounce
    -0.59
    ges
    -0.59
    POSITIVE LOGITS
    55
    3.14
    54
    1.96
    53
    1.91
    56
    1.91
    45
    1.90
    57
    1.87
    35
    1.85
    65
    1.81
    75
    1.78
    85
    1.75
    Activations Density 0.024%

    No Known Activations