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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. 1-RES-JB
    11. 12870
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    INDEX
    Explanations

    remnants or residues of something

    oai_token-act-pair · gpt-3.5-turbo

    terms related to remnants, residuals, and leftovers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inen
    -0.78
    odiac
    -0.63
    ented
    -0.62
    cemic
    -0.62
    tesque
    -0.61
    aped
    -0.61
    onomic
    -0.60
    orld
    -0.60
    OUT
    -0.60
    hari
    -0.60
    POSITIVE LOGITS
     remnants
    1.28
     newcom
    0.85
     traces
    0.84
     remnant
    0.82
     scraps
    0.82
     residues
    0.79
     residue
    0.79
     leftover
    0.78
     fragments
    0.78
     assemblies
    0.76
    Activations Density 0.012%

    No Known Activations