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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. 0-RES-JB
    11. 582
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    INDEX
    Explanations

    names of people or places, particularly "Hatch" and "Wagner"

    oai_token-act-pair · gpt-3.5-turbo

    references to parks and certain individuals associated with them

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    climate
    -0.75
    Bio
    -0.71
    pha
    -0.69
    eor
    -0.66
     tracts
    -0.64
     neoc
    -0.63
     skiing
    -0.63
    emy
    -0.63
     shale
    -0.62
    oly
    -0.62
    POSITIVE LOGITS
    park
    1.65
     Hatch
    1.49
     Pend
    1.48
     Wagner
    1.46
     Patt
    1.32
     los
    1.25
     Lyon
    1.20
    display
    1.17
     PARK
    1.10
    CON
    1.09
    Activations Density 0.037%

    No Known Activations