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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. 7-RES-JB
    11. 13384
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    Explanations

    mentions of streets

    oai_token-act-pair · gpt-3.5-turbo

    references to "streets" and related contexts suggesting urban environments or social issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    emort
    -0.83
    opsis
    -0.77
    itors
    -0.76
    itor
    -0.74
    inite
    -0.73
    essee
    -0.71
    estamp
    -0.71
    iasis
    -0.69
    iotic
    -0.68
    berman
    -0.66
    POSITIVE LOGITS
    cape
    1.20
     streets
    0.99
    fare
    0.94
    walker
    0.87
     sidewalks
    0.85
    ways
    0.84
    walk
    0.80
    wear
    0.79
     sew
    0.77
    ourced
    0.75
    Activations Density 0.022%

    No Known Activations