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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. 15766
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    Explanations

    phrases related to the description or evaluation of specific aspects or qualities of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases that describe various methods or approaches

    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
    raft
    -0.74
    rolet
    -0.69
    apt
    -0.69
    ben
    -0.65
    bas
    -0.63
    anting
    -0.62
    isi
    -0.62
    bed
    -0.61
    Rog
    -0.61
    roy
    -0.61
    POSITIVE LOGITS
    xual
    1.00
    soever
    0.94
    rity
    0.76
    ĸļ
    0.74
    igham
    0.70
     horizont
    0.70
    ertodd
    0.69
     contrasts
    0.69
     gobl
    0.69
    >[
    0.68
    Activations Density 0.044%

    No Known Activations