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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. 1524
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    INDEX
    Explanations

    phrases indicating assumptions or beliefs

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express the concept of making assumptions

    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
    HCR
    -0.86
    psey
    -0.79
    sung
    -0.78
    berus
    -0.74
    FTWARE
    -0.71
    nels
    -0.71
    turn
    -0.71
    talking
    -0.71
    gom
    -0.69
    ende
    -0.67
    POSITIVE LOGITS
     assume
    0.81
     ownership
    0.80
     innocence
    0.78
     responsibility
    0.77
     incorrectly
    0.76
     infall
    0.75
     liability
    0.70
     assumed
    0.69
     guilt
    0.67
     assumptions
    0.67
    Activations Density 0.043%

    No Known Activations