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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. 9-RES-JB
    11. 16744
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    Explanations

    roles or figures with influence and significance in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to roles and role models in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bones
    -0.67
    yg
    -0.67
     sight
    -0.66
    Latest
    -0.65
    False
    -0.64
    REAM
    -0.64
    trap
    -0.63
    agy
    -0.62
    ãĥ©ãĥ³
    -0.62
     Bulg
    -0.62
    POSITIVE LOGITS
    playing
    1.22
     reversal
    0.90
     roles
    0.81
    played
    0.80
    Playing
    0.79
     models
    0.77
    model
    0.77
    iotic
    0.75
    players
    0.74
     model
    0.73
    Activations Density 0.050%

    No Known Activations