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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. 7-RES-JB
    11. 13935
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    Explanations

    organizations or entities mentioned in news articles

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and organizations in a document

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ§
    -0.70
    lust
    -0.70
    onom
    -0.68
    hift
    -0.65
    shift
    -0.61
    metal
    -0.61
    appings
    -0.59
    ãĥ´
    -0.59
    aeda
    -0.58
    dri
    -0.58
    POSITIVE LOGITS
     headquartered
    0.86
     respectively
    0.82
     guiActiveUnfocused
    0.81
     Ltd
    0.73
     which
    0.68
     billed
    0.66
     whose
    0.66
    Laun
    0.66
     situated
    0.66
    UA
    0.65
    Activations Density 0.434%

    No Known Activations