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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. 0-RES-JB
    11. 20430
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    Explanations

    words related to acute medical conditions and catastrophic events

    oai_token-act-pair · gpt-3.5-turbo

    terms related to severe medical conditions and their consequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Style
    -0.81
     decor
    -0.75
    esan
    -0.74
     secretly
    -0.74
    urn
    -0.72
     Arg
    -0.71
    flies
    -0.70
    jug
    -0.69
    Legend
    -0.69
     Lamp
    -0.68
    POSITIVE LOGITS
     acute
    2.05
     cumulative
    1.84
     catastrophic
    1.75
     disruptive
    1.70
     transformative
    1.61
     systemic
    1.53
     traumatic
    1.50
     debilitating
    1.42
     adaptive
    1.41
     irreversible
    1.39
    Activations Density 0.068%

    No Known Activations