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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. 20736
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    Explanations

    medical terms related to injuries and medical procedures

    oai_token-act-pair · gpt-3.5-turbo

    words related to punctuation and ruptures

    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
    HEAD
    -0.90
    è£ħ
    -0.88
    CTV
    -0.76
    PDATE
    -0.70
    BO
    -0.68
    GROUND
    -0.67
    Reviewer
    -0.65
    boarding
    -0.65
    BIL
    -0.65
    OPLE
    -0.65
    POSITIVE LOGITS
    ured
    1.59
    ures
    1.48
    uring
    1.37
    uation
    1.23
    urer
    1.22
    urers
    1.20
    ure
    1.19
    urous
    1.09
    uated
    1.09
    uers
    1.08
    Activations Density 0.049%

    No Known Activations