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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. 4-RES-JB
    11. 7081
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    Explanations

    terms related to physical attributes or actions

    oai_token-act-pair · gpt-3.5-turbo

    references to physical aspects or attributes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ered
    -0.75
    adish
    -0.74
    bare
    -0.72
    gd
    -0.72
    quist
    -0.71
    ungle
    -0.70
    tower
    -0.67
    glers
    -0.67
    poon
    -0.67
    uden
    -0.67
    POSITIVE LOGITS
     manifestation
    0.98
    ity
    0.95
     sciences
    0.88
     impossibility
    0.87
    ized
    0.87
     manifestations
    0.85
    anguage
    0.85
     altercation
    0.84
     necessities
    0.83
    isation
    0.80
    Activations Density 0.018%

    No Known Activations