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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. 364
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    INDEX
    Explanations

    references to governing or regulatory entities

    oai_token-act-pair · gpt-3.5-turbo

    references to organizations or groups

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Hoover
    -0.67
    kers
    -0.66
    ecake
    -0.66
    ãĥĻ
    -0.63
    ilant
    -0.63
    é¾į
    -0.60
    awar
    -0.59
     bu
    -0.58
    actly
    -0.58
     Dickens
    -0.58
    POSITIVE LOGITS
     politic
    1.06
    guards
    0.94
    building
    0.87
    member
    0.80
    weight
    0.78
    guard
    0.78
    builders
    0.77
    chair
    0.76
     promul
    0.73
     certified
    0.72
    Activations Density 0.020%

    No Known Activations