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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. 4-RES-JB
    11. 12625
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    Explanations

    references to hoods or hood-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to "hood" in various contexts, particularly in relation to clothing or environments

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

    No Comments

    Negative Logits
    ngth
    -0.79
    lihood
    -0.79
    ãĤ´ãĥ³
    -0.72
    vasive
    -0.72
    andum
    -0.68
    ŃĶ
    -0.68
    FORM
    -0.66
    ASED
    -0.65
     Breed
    -0.65
    OPLE
    -0.65
    POSITIVE LOGITS
     hood
    1.04
    tip
    0.87
    ie
    0.87
    oos
    0.87
    ook
    0.86
     ornament
    0.85
    skin
    0.85
    sie
    0.85
    ies
    0.82
    ed
    0.80
    Activations Density 0.010%

    No Known Activations