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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. 6-RES-JB
    11. 17706
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    Explanations

    abstract concepts or ideas

    oai_token-act-pair · gpt-3.5-turbo

    references to abstract concepts or ideas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    risome
    -0.84
    ICAN
    -0.76
    odder
    -0.74
    UNCH
    -0.72
    omore
    -0.70
    attering
    -0.68
    unker
    -0.67
    ogi
    -0.67
    asts
    -0.66
    artney
    -0.66
    POSITIVE LOGITS
    ions
    1.14
    stract
    0.93
    edly
    0.88
    matter
    0.85
     algebra
    0.84
    edIn
    0.82
     abstract
    0.80
     syntax
    0.77
    urally
    0.76
     painter
    0.76
    Activations Density 0.018%

    No Known Activations