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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. 8-RES-JB
    11. 12488
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    INDEX
    Explanations

    phrases indicating desires or intentions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of desire or intentions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    VERTISEMENT
    -0.79
    rome
    -0.72
    anches
    -0.71
    fell
    -0.68
    mson
    -0.67
    anka
    -0.67
    ulty
    -0.67
    lique
    -0.66
    rir
    -0.65
    trust
    -0.63
    POSITIVE LOGITS
     revenge
    0.84
     assurances
    0.84
     nothing
    0.81
     attention
    0.79
     clarification
    0.76
     answers
    0.74
    reprene
    0.74
     permission
    0.72
     to
    0.72
     stricter
    0.70
    Activations Density 0.111%

    No Known Activations