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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. 11277
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    Explanations

    terms related to hashing and hash rates in technological contexts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to hash rate and hashing in computing contexts

    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
    ufact
    -0.83
    oaded
    -0.76
    psey
    -0.74
    rehend
    -0.72
    apsed
    -0.69
     Superior
    -0.68
    regon
    -0.68
    oples
    -0.65
    ruciating
    -0.65
    aunders
    -0.65
    POSITIVE LOGITS
    tags
    1.13
    imoto
    1.01
    bang
    0.95
    hash
    0.95
    tag
    0.93
    arov
    0.88
     Hash
    0.85
    cash
    0.84
     hash
    0.82
    mi
    0.81
    Activations Density 0.010%

    No Known Activations