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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. 3732
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    Explanations

    phrases indicating suggestions or recommendations

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "consider"

    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
     Pirates
    -0.62
    oiler
    -0.61
     Planes
    -0.60
     Alley
    -0.58
     pig
    -0.58
     announcer
    -0.57
    oil
    -0.57
    "}
    -0.56
     havoc
    -0.56
     Organisation
    -0.56
    POSITIVE LOGITS
    phas
    0.89
    ibility
    0.85
    ilitarian
    0.84
     consider
    0.81
    ate
    0.79
    retion
    0.78
    cipled
    0.78
     favorably
    0.76
    mental
    0.74
    ationally
    0.74
    Activations Density 0.025%

    No Known Activations