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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. 11-RES-JB
    11. 16301
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    Explanations

    pronouns referring to a specific subject

    oai_token-act-pair · gpt-3.5-turbo

    instances of the pronoun "it" and related phrases indicating difficulty or impossibility

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ollow
    -0.60
    allery
    -0.60
     horm
    -0.54
     obscurity
    -0.53
     IPM
    -0.53
     forbid
    -0.53
     ignoring
    -0.53
     informing
    -0.52
    planes
    -0.52
    icent
    -0.51
    POSITIVE LOGITS
     really
    0.75
     truly
    0.72
    really
    0.69
     become
    0.66
     REALLY
    0.66
     sounded
    0.66
    Thumbnail
    0.65
    inventoryQuantity
    0.64
     actually
    0.63
     Really
    0.62
    Activations Density 0.157%

    No Known Activations