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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. 14288
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    Explanations

    phrases related to bold statements or declarations

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, particularly commas

    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
    Not in Any Lists

    No Comments

    Negative Logits
    utsche
    -0.64
    quartered
    -0.62
    raved
    -0.60
    izens
    -0.60
    errilla
    -0.60
    rero
    -0.60
    opers
    -0.59
    oped
    -0.59
    colo
    -0.59
    pires
    -0.58
    POSITIVE LOGITS
     albeit
    1.30
     namely
    1.25
     thereby
    1.21
     whereas
    1.20
     although
    1.16
    thus
    1.12
     implying
    1.11
     thus
    1.11
     hence
    1.09
     irrespective
    1.07
    Activations Density 0.480%

    No Known Activations