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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. 3-RES-JB
    11. 12673
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    INDEX
    Explanations

    causal relationships or potential consequences

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "cause" related to negative consequences or effects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aeper
    -0.89
    ault
    -0.78
    aredevil
    -0.70
     Pione
    -0.68
     Sheep
    -0.66
    ian
    -0.66
    olitan
    -0.65
     Technique
    -0.65
     Quart
    -0.63
    illet
    -0.63
    POSITIVE LOGITS
     cele
    1.16
     havoc
    0.79
     trouble
    0.74
    cause
    0.74
    ãĥĨãĤ£
    0.71
     cause
    0.67
    eus
    0.66
    facts
    0.66
     irre
    0.66
     celeb
    0.66
    Activations Density 0.021%

    No Known Activations