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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
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    Explanations

    information or details about various topics or events

    oai_token-act-pair · gpt-3.5-turbo

    references to details and information

    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
    gallery
    -0.81
    rang
    -0.74
    à¥
    -0.73
     Sabha
    -0.67
    rift
    -0.66
    ा
    -0.66
    HT
    -0.65
    sky
    -0.65
    OGR
    -0.65
    oven
    -0.64
    POSITIVE LOGITS
     how
    0.82
     halfway
    0.78
     whether
    0.73
     respecting
    0.71
     exposing
    0.67
     why
    0.66
     calib
    0.66
    aleb
    0.65
     juven
    0.63
    eday
    0.63
    Activations Density 0.147%

    No Known Activations