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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. 7-RES-JB
    11. 13809
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    INDEX
    Explanations

    phrases related to explanations or justifications

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing various reasons or justifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    agra
    -0.66
     needle
    -0.62
    ibaba
    -0.60
     likeness
    -0.60
    KY
    -0.58
    yss
    -0.58
    esc
    -0.58
    boro
    -0.58
     compliment
    -0.57
    enged
    -0.57
    POSITIVE LOGITS
     reasons
    0.94
    abl
    0.89
    neum
    0.83
     unrelated
    0.80
    ascript
    0.76
    ¶
    0.74
     Reasons
    0.73
     inexplicable
    0.70
     sake
    0.70
    reason
    0.70
    Activations Density 0.037%

    No Known Activations