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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. 2-RES-JB
    11. 15756
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    Explanations

    sub-components or aspects within a larger category

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "sub," indicating a focus on subdivisions or subcategories within various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OHN
    -0.86
    ESCO
    -0.84
    IELD
    -0.76
     Qiao
    -0.73
     Lauder
    -0.72
     Papers
    -0.71
    ILLE
    -0.71
     Strauss
    -0.71
     Cors
    -0.71
     Muse
    -0.71
    POSITIVE LOGITS
    mitter
    1.17
    missive
    1.14
    sequent
    1.10
    species
    1.10
    verting
    1.09
    sequently
    1.08
    atomic
    1.01
    mitted
    1.01
    ordinate
    1.01
    bole
    0.99
    Activations Density 0.012%

    No Known Activations