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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. 4-RES-JB
    11. 11101
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    INDEX
    Explanations

    connector words and phrases that indicate reasoning or cause-and-effect relationships

    oai_token-act-pair · gpt-3.5-turbo

    words indicating causation or logical connections

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

    No Comments

    Negative Logits
    ocene
    -0.82
    igger
    -0.80
     Yard
    -0.73
    unity
    -0.72
    igers
    -0.72
    rend
    -0.71
    MSN
    -0.71
    WER
    -0.69
    ensed
    -0.66
     Braves
    -0.65
    POSITIVE LOGITS
     consequently
    0.98
     importantly
    0.89
     rely
    0.86
     alike
    0.84
     thereafter
    0.84
     succeeded
    0.80
     thereof
    0.79
    etheless
    0.76
     proceeded
    0.75
     equivalents
    0.74
    Activations Density 0.204%

    No Known Activations