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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. 6-RES-JB
    11. 13467
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    INDEX
    Explanations

    phrases indicating causality

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "due" indicating causation or reason

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arest
    -0.82
    =-=-=-=-=-=-=-=-
    -0.78
    asp
    -0.75
    arro
    -0.74
    hov
    -0.73
     Sheep
    -0.71
    anon
    -0.71
     Petra
    -0.68
    agate
    -0.67
    oola
    -0.65
    POSITIVE LOGITS
     diligence
    1.17
    giving
    0.86
    gers
    0.81
     cancell
    0.81
     releg
    0.75
    itiz
    0.73
    */(
    0.71
     dilig
    0.70
     deadlines
    0.69
     periods
    0.68
    Activations Density 0.021%

    No Known Activations