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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. 23888
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    Explanations

    positive or approving statements

    oai_token-act-pair · gpt-3.5-turbo

    positive evaluations of ideas or experiences

    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
    sten
    -0.77
     inability
    -0.71
     blackout
    -0.71
    agin
    -0.69
    quer
    -0.67
    rero
    -0.66
    roots
    -0.65
     forbidden
    -0.65
    angering
    -0.64
    anus
    -0.64
    POSITIVE LOGITS
    albeit
    0.87
     albeit
    0.86
     insofar
    0.82
     BUT
    0.80
     congr
    0.78
     congratulations
    0.78
    but
    0.77
     Helpful
    0.77
     but
    0.77
    although
    0.74
    Activations Density 0.801%

    No Known Activations