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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. 19426
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    Explanations

    medical conditions or terms related to health issues, specifically focusing on conditions that include the term "ph" in them

    oai_token-act-pair · gpt-3.5-turbo

    references to physical and psychological conditions

    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
    éĹĺ
    -0.84
    BIL
    -0.75
    PUT
    -0.70
    ãĥ´
    -0.69
    ELY
    -0.69
    eers
    -0.68
    âĸ¬âĸ¬
    -0.67
    vers
    -0.66
    JO
    -0.65
     Progressive
    -0.64
    POSITIVE LOGITS
    osate
    1.63
    osph
    1.32
    ysics
    1.30
    antom
    1.26
    obia
    1.18
    inx
    1.05
    onso
    1.03
    ttp
    0.98
    tml
    0.98
    allic
    0.98
    Activations Density 0.016%

    No Known Activations