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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. 9-RES-JB
    11. 3530
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    Explanations

    verbs related to actions or processes

    oai_token-act-pair · gpt-3.5-turbo

    verbs related to actions and needs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    peak
    -0.67
     gobl
    -0.63
     mortg
    -0.62
     Palestin
    -0.62
     DISTRICT
    -0.62
     disadvant
    -0.62
     suspic
    -0.62
     tyr
    -0.61
     challeng
    -0.59
    outhern
    -0.58
    POSITIVE LOGITS
    ings
    1.27
    able
    1.26
    ingly
    1.23
    eth
    1.23
    ned
    1.13
    ables
    1.08
    es
    1.06
    ls
    1.03
    ments
    1.03
    ously
    0.99
    Activations Density 0.396%

    No Known Activations