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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. 19487
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    Explanations

    deterministic statements or requests

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating restrictions or conditions

    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
    Joy
    -0.83
    MSN
    -0.73
    gone
    -0.69
     Cruiser
    -0.67
    Legend
    -0.65
    vier
    -0.65
    Disk
    -0.63
    anders
    -0.63
    undrum
    -0.63
    iets
    -0.62
    POSITIVE LOGITS
     alike
    0.95
     respectively
    0.64
    WHERE
    0.61
     depending
    0.61
     striped
    0.59
     Weekly
    0.55
    eele
    0.55
     thereof
    0.54
    rely
    0.53
     reproduction
    0.53
    Activations Density 0.171%

    No Known Activations