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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. 10-RES-JB
    11. 16461
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    Explanations

    capitalized acronyms and abbreviations

    oai_token-act-pair · gpt-3.5-turbo

    abbreviations and acronyms in texts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tons
    -0.61
     nearby
    -0.58
    gha
    -0.55
    pron
    -0.54
     bour
    -0.54
     mustache
    -0.54
    beh
    -0.53
     some
    -0.53
     spell
    -0.53
    than
    -0.52
    POSITIVE LOGITS
    OLOGY
    1.24
    ING
    1.24
    INGTON
    1.22
    CLAIM
    1.20
    ON
    1.19
    GEN
    1.19
    ED
    1.18
    HAM
    1.18
    END
    1.18
    OIL
    1.17
    Activations Density 0.229%

    No Known Activations