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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. 13525
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    Explanations

    verbs related to movement or change

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to deviation or changes in direction

    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
     Paste
    -0.79
    ufact
    -0.76
    batch
    -0.69
    200000
    -0.69
    Dur
    -0.65
    without
    -0.64
     QC
    -0.63
    listed
    -0.62
    iencies
    -0.61
    itary
    -0.61
    POSITIVE LOGITS
     toward
    1.32
     towards
    1.28
     downward
    1.16
     favor
    1.16
     favour
    1.10
     downwards
    1.10
     Towards
    1.06
     upward
    0.99
     sharply
    0.98
     direction
    0.97
    Activations Density 0.292%

    No Known Activations