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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. 1391
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    Explanations

    phrases introducing a formal explanation or system

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate a conditional or causal relationship

    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
    yi
    -0.66
    mop
    -0.66
    marg
    -0.65
    ETS
    -0.65
    bi
    -0.65
    aldi
    -0.64
    yan
    -0.63
    Bas
    -0.63
    rm
    -0.63
    rolet
    -0.62
    POSITIVE LOGITS
    soever
    1.25
    upon
    0.80
     involves
    0.76
    terness
    0.76
     arises
    0.73
    forward
    0.72
    iculty
    0.71
     consists
    0.69
     originated
    0.67
    abouts
    0.67
    Activations Density 0.005%

    No Known Activations