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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. 3-RES-JB
    11. 8306
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    Explanations

    proper nouns related to people or companies

    oai_token-act-pair · gpt-3.5-turbo

    repeated occurrences of the name "Gross" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    urated
    -0.73
    plates
    -0.69
    ochemical
    -0.67
    ribe
    -0.63
     WATCHED
    -0.62
    ENTS
    -0.61
     dent
    -0.61
    glers
    -0.61
     Tup
    -0.60
     hypert
    -0.59
    POSITIVE LOGITS
    es
    0.98
    iness
    0.90
    erness
    0.87
    edIn
    0.86
    enger
    0.84
    ier
    0.83
    ortment
    0.82
    ross
    0.80
    chwitz
    0.76
    cliffe
    0.73
    Activations Density 0.012%

    No Known Activations