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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. 21305
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    Explanations

    phrases related to events or incidents happening as a result of certain triggers or actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases or contexts related to events following significant incidents

    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
    inet
    -0.83
    nels
    -0.75
     istg
    -0.73
    AK
    -0.69
    imentary
    -0.68
    aves
    -0.67
    ially
    -0.67
    taboola
    -0.66
    less
    -0.66
    utical
    -0.65
    POSITIVE LOGITS
     Hurricane
    1.04
     scandals
    0.85
     adversity
    0.85
     hurricanes
    0.80
     revelations
    0.78
     Katrina
    0.77
     tragedies
    0.77
     disasters
    0.77
     Tropical
    0.77
     Ragnarok
    0.74
    Activations Density 0.079%

    No Known Activations