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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. 6-RES-JB
    11. 17553
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    Explanations

    words related to physical medical conditions or symptoms, with a focus on fever

    oai_token-act-pair · gpt-3.5-turbo

    terms related to fever and its effects or symptoms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    */(
    -0.87
    AAF
    -0.83
    ophers
    -0.76
    VICE
    -0.75
    adr
    -0.71
    myra
    -0.71
    ĻĤ
    -0.71
    issors
    -0.71
    mination
    -0.70
    AIN
    -0.70
    POSITIVE LOGITS
    ishly
    1.12
    few
    1.04
     fever
    0.95
     Fever
    0.79
    ishing
    0.77
    emic
    0.77
    ish
    0.76
    uating
    0.75
    ishes
    0.74
    iness
    0.74
    Activations Density 0.021%

    No Known Activations