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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. 5460
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    Explanations

    statements made by individuals to reporters

    oai_token-act-pair · gpt-3.5-turbo

    mentions of reporters or the act of reporting

    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
    ston
    -0.87
    spring
    -0.71
    ateral
    -0.69
    emonic
    -0.67
    ige
    -0.66
    sm
    -0.65
    inence
    -0.64
    erton
    -0.64
    shoot
    -0.64
    mental
    -0.63
    POSITIVE LOGITS
     reporters
    1.05
     reporter
    0.90
     journalists
    0.90
     Journalists
    0.86
     photographers
    0.83
     cov
    0.80
     newsp
    0.77
    orters
    0.75
    ynthesis
    0.70
    BIL
    0.70
    Activations Density 0.015%

    No Known Activations