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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. 8-RES-JB
    11. 11665
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    INDEX
    Explanations

    phrases indicating a decline or negative outcome

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating decline or downfall

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ¶ħ
    -0.73
    orial
    -0.69
    iliary
    -0.69
    archives
    -0.65
    reads
    -0.63
    ilies
    -0.63
    digy
    -0.61
    ulsion
    -0.60
    ago
    -0.60
    ivities
    -0.59
    POSITIVE LOGITS
     stairs
    1.10
    graded
    1.02
    LOAD
    1.00
    grading
    0.93
    stairs
    0.92
    hill
    0.87
     sidx
    0.85
    vote
    0.84
     horm
    0.84
    pour
    0.82
    Activations Density 0.032%

    No Known Activations