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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. 6-RES-JB
    11. 7220
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    Explanations

    words related to thoroughness or completeness

    oai_token-act-pair · gpt-3.5-turbo

    elements and components that are frequently referenced

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ersive
    -0.70
    ounded
    -0.68
    stals
    -0.64
    lua
    -0.63
    chi
    -0.63
    RAW
    -0.62
    hua
    -0.61
    qus
    -0.61
     magnets
    -0.59
    eele
    -0.58
    POSITIVE LOGITS
     imaginable
    1.43
     conceivable
    1.01
     except
    0.95
    except
    0.86
     whatsoever
    0.78
    nut
    0.76
    ãĤ«
    0.71
     thereafter
    0.70
     facet
    0.69
    Tes
    0.69
    Activations Density 0.145%

    No Known Activations