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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. 11-RES-JB
    11. 4126
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    Explanations

    phrases related to medical emergencies requiring hospital visits

    oai_token-act-pair · gpt-3.5-turbo

    locations and settings related to significant events or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    dn
    -0.60
    anse
    -0.59
    taboola
    -0.59
    imo
    -0.58
    utm
    -0.58
    IGN
    -0.57
    Exit
    -0.55
    itude
    -0.55
     Direction
    -0.54
    Disk
    -0.53
    POSITIVE LOGITS
     expecting
    0.93
     voluntarily
    0.89
     unprepared
    0.83
     willingly
    0.83
     wearing
    0.83
     hoping
    0.82
     crying
    0.80
    waves
    0.80
     unsc
    0.78
     seeking
    0.77
    Activations Density 0.238%

    No Known Activations