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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. 6027
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    Explanations

    phrases expressing belief or confidence in something or someone

    oai_token-act-pair · gpt-3.5-turbo

    expressions of belief and support

    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
    utterstock
    -0.78
    warning
    -0.74
     prematurely
    -0.66
     ®
    -0.66
     abruptly
    -0.64
    orno
    -0.63
    agus
    -0.62
    failed
    -0.61
    ãĥ«
    -0.61
     Attempt
    -0.61
    POSITIVE LOGITS
     everybody
    0.89
     blah
    0.85
     excellence
    0.83
     terrific
    0.79
    respected
    0.79
     wonderful
    0.78
     dilig
    0.78
     vibe
    0.77
     coaches
    0.77
     professionalism
    0.76
    Activations Density 0.708%

    No Known Activations