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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. 3-RES-JB
    11. 23807
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    Explanations

    words related to physical ailments and medical symptoms

    oai_token-act-pair · gpt-3.5-turbo

    words that indicate the state of being troubled or burdened

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BILITIES
    -0.70
    taboola
    -0.70
    CHA
    -0.64
    Ct
    -0.63
     Ll
    -0.63
    void
    -0.61
    ioxide
    -0.61
    vez
    -0.60
    BILITY
    -0.59
    Ter
    -0.58
    POSITIVE LOGITS
    icultural
    0.71
    gow
    0.67
    ady
    0.66
    cules
    0.65
    awei
    0.65
    behind
    0.64
    unctions
    0.63
    wed
    0.62
    angs
    0.61
    ritis
    0.61
    Activations Density 0.082%

    No Known Activations