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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. 16037
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    Explanations

    mentions of the word "leg" or words containing "leg" with a strong emphasis on the specific word "leg"

    oai_token-act-pair · gpt-3.5-turbo

    references to "leg" in various contexts

    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
    âķIJâķIJ
    -0.63
     Divinity
    -0.60
    tery
    -0.59
     selecting
    -0.58
     Oo
    -0.58
     Parenthood
    -0.58
    ter
    -0.57
    bern
    -0.56
     Moderate
    -0.56
    ettings
    -0.56
    POSITIVE LOGITS
    itimate
    1.22
    isl
    1.15
    acies
    1.06
    rett
    1.00
    acy
    0.99
    ends
    0.91
    oland
    0.91
    enic
    0.90
    uin
    0.88
    ibility
    0.86
    Activations Density 0.008%

    No Known Activations