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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. 15295
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    Explanations

    references to visual demonstrations or examples

    oai_token-act-pair · gpt-3.5-turbo

    instances of the verb "see."

    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
     whistle
    -0.69
    EStreamFrame
    -0.67
     disposal
    -0.65
    cycl
    -0.64
     cons
    -0.63
     reun
    -0.63
    wake
    -0.62
    conn
    -0.61
    prime
    -0.61
    ingo
    -0.61
    POSITIVE LOGITS
    ivably
    0.82
    escription
    0.79
     whats
    0.78
     bruises
    0.78
    wark
    0.77
    seeing
    0.77
    ById
    0.76
    eport
    0.75
    ogyn
    0.74
     whence
    0.74
    Activations Density 0.072%

    No Known Activations