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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. 1-RES-JB
    11. 16129
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    Explanations

    references to indoor and outdoor environments

    oai_token-act-pair · gpt-3.5-turbo

    references to indoor and outdoor settings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sections
    -0.65
    Ku
    -0.64
     blood
    -0.61
    acts
    -0.61
     artery
    -0.61
     heart
    -0.60
    inders
    -0.60
     reasons
    -0.60
    gments
    -0.59
    ottage
    -0.58
    POSITIVE LOGITS
     outdoors
    1.27
     indoors
    1.06
    manship
    1.01
    creen
    0.91
    man
    0.86
    men
    0.86
    xual
    0.86
    byss
    0.83
    smanship
    0.82
    cape
    0.81
    Activations Density 0.007%

    No Known Activations