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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. 3-RES-JB
    11. 16754
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    INDEX
    Explanations

    phrases with the word "through" followed by a number indicating the strength of activation

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "through."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    isd
    -0.73
    juven
    -0.70
    arily
    -0.69
    igh
    -0.67
    necess
    -0.65
    SPA
    -0.65
    isted
    -0.64
    rem
    -0.63
    imens
    -0.63
    arist
    -0.63
    POSITIVE LOGITS
     thru
    0.74
    through
    0.73
     afar
    0.70
     Examination
    0.68
     intersections
    0.66
    Ïī
    0.65
     Sussex
    0.65
    esville
    0.64
     walls
    0.64
     clenched
    0.64
    Activations Density 0.046%

    No Known Activations