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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. 690
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    INDEX
    Explanations

    numeric quantities or statistical details

    oai_token-act-pair · gpt-3.5-turbo

    references to opportunities or chances

    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
     conduc
    -0.70
     hobby
    -0.66
     bait
    -0.66
    choes
    -0.64
     commer
    -0.64
    essen
    -0.61
     artistic
    -0.60
    itory
    -0.60
     mosqu
    -0.60
     studio
    -0.60
    POSITIVE LOGITS
    >]
    0.83
    Driver
    0.73
    velt
    0.70
    eva
    0.70
    âĢ¦]
    0.70
    )].
    0.67
    ])
    0.66
    ...]
    0.64
    Medic
    0.64
     Furious
    0.62
    Activations Density 0.000%

    No Known Activations