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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 7-RES-JB
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    Explanations

    mentions of the location "Newtown"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific locations, particularly related to the Newtown event

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    graded
    -0.65
    ressed
    -0.63
    atable
    -0.62
    anty
    -0.61
    uana
    -0.61
    oulos
    -0.60
    amel
    -0.60
    onent
    -0.60
    vu
    -0.59
    inson
    -0.59
    POSITIVE LOGITS
    schild
    0.86
     Newtown
    0.85
    redit
    0.83
    wolf
    0.81
    stein
    0.80
    rats
    0.78
    thur
    0.73
    ieth
    0.70
    thal
    0.69
    izon
    0.68
    Activations Density 0.070%

    No Known Activations