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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. 2-RES-JB
    11. 5750
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    Explanations

    words related to absorption or infusion

    oai_token-act-pair · gpt-3.5-turbo

    terms related to substance use and addiction

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    profits
    -0.77
    cuts
    -0.72
    profit
    -0.71
    fare
    -0.69
    housing
    -0.65
     Uniform
    -0.64
     Chapman
    -0.63
    NL
    -0.63
    sein
    -0.61
    scale
    -0.61
    POSITIVE LOGITS
     imb
    1.13
    ually
    0.91
    ividual
    0.90
    enced
    0.83
    igious
    0.82
    igation
    0.80
    ued
    0.79
    rams
    0.79
    igated
    0.78
    igating
    0.78
    Activations Density 0.026%

    No Known Activations