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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. 3023
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    Explanations

    phrases related to actions generating consequences or reactions

    oai_token-act-pair · gpt-3.5-turbo

    instances of events or actions that prompt responses or reactions

    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
    zees
    -0.81
     behaved
    -0.76
    pure
    -0.75
    ophe
    -0.75
    ãĥ¼ãĤ¯
    -0.72
     behaves
    -0.71
    utf
    -0.71
     penet
    -0.69
     simulac
    -0.68
    issance
    -0.66
    POSITIVE LOGITS
     resign
    0.99
     resignation
    0.95
     cancellation
    0.93
     postp
    0.88
     reconsider
    0.86
     shel
    0.86
     rethink
    0.86
     postpone
    0.83
     temporarily
    0.82
     banning
    0.81
    Activations Density 0.435%

    No Known Activations