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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. 7-RES-JB
    11. 11680
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    Explanations

    phrases or words related to abstract or conceptual elements

    oai_token-act-pair · gpt-3.5-turbo

    references to various components or aspects of a subject

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    sburgh
    -0.88
    lishing
    -0.76
    claimed
    -0.75
    lisher
    -0.70
    rontal
    -0.69
     Predators
    -0.68
    ceed
    -0.67
    cies
    -0.67
    spe
    -0.66
    blem
    -0.65
    POSITIVE LOGITS
     elements
    1.08
     element
    0.96
    ality
    0.83
    als
    0.80
     thereof
    0.78
     abund
    0.73
    witz
    0.72
    ative
    0.71
     infiltrate
    0.70
     guiActiveUn
    0.69
    Activations Density 0.021%

    No Known Activations