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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. 6-RES-JB
    11. 2564
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    Explanations

    terms related to physical attributes or support

    oai_token-act-pair · gpt-3.5-turbo

    key terms related to support, potential, and resources

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    adow
    -0.72
    edIn
    -0.67
    batch
    -0.65
    haps
    -0.63
    outube
    -0.61
    hoff
    -0.60
     Despair
    -0.59
    TAIN
    -0.58
    Release
    -0.57
    Represent
    -0.57
    POSITIVE LOGITS
    liest
    1.28
    iest
    1.13
     equivalent
    1.03
    est
    0.87
    same
    0.87
    erity
    0.81
    hest
    0.80
     necessary
    0.79
     requisite
    0.78
     easiest
    0.74
    Activations Density 0.411%

    No Known Activations