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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. 10-RES-JB
    11. 5607
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    INDEX
    Explanations

    names of items or products in the context of a review or critique

    oai_token-act-pair · gpt-3.5-turbo

    nouns related to artistic and creative works

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    otos
    -0.63
     disturbance
    -0.62
     democr
    -0.59
    Else
    -0.59
    NOR
    -0.58
    orr
    -0.58
     oneself
    -0.57
    owers
    -0.57
    ]'
    -0.56
     males
    -0.53
    POSITIVE LOGITS
    mith
    1.29
    heet
    1.22
    cape
    1.20
    cale
    1.16
    hip
    1.10
    hare
    1.06
    creen
    1.05
    etting
    1.04
    peed
    1.00
    pan
    1.00
    Activations Density 0.340%

    No Known Activations