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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. 18034
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    Explanations

    words related to urban areas or settings

    oai_token-act-pair · gpt-3.5-turbo

    terms related to urban settings or environments

    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
    xon
    -0.91
    milo
    -0.63
    CHR
    -0.62
    lder
    -0.62
     Points
    -0.62
    ynt
    -0.62
     Wond
    -0.61
     Beard
    -0.61
    rehensive
    -0.60
    racuse
    -0.60
    POSITIVE LOGITS
    urb
    1.44
    ionage
    0.89
     confir
    0.83
    icit
    0.80
    ulence
    0.80
    inson
    0.79
    ilateral
    0.74
     neighb
    0.74
    iment
    0.73
    abies
    0.73
    Activations Density 0.010%

    No Known Activations