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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
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    INDEX
    Explanations

    distances specified in kilometers

    oai_token-act-pair · gpt-3.5-turbo

    measurements and units of distance and size

    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
    wolves
    -0.82
    bell
    -0.78
    aways
    -0.76
    shots
    -0.75
    agles
    -0.74
    lay
    -0.74
    plates
    -0.74
    line
    -0.73
    corn
    -0.70
    bet
    -0.70
    POSITIVE LOGITS
     km
    3.00
     kg
    2.04
     cm
    1.63
     kilometers
    1.49
     KM
    1.42
     mm
    1.42
     kW
    1.41
     kilometres
    1.40
     kilomet
    1.35
     sq
    1.31
    Activations Density 0.022%

    No Known Activations