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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. 8-RES-JB
    11. 10939
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    Explanations

    descriptive phrases related to objects being placed or secured in a specific location

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to the future and novelty

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Disapp
    -0.72
    BUS
    -0.68
    Afee
    -0.54
    é¾įå¥ij士
    -0.53
    Houston
    -0.52
    acio
    -0.52
    gency
    -0.51
    hene
    -0.51
     hostage
    -0.51
    SAN
    -0.51
    POSITIVE LOGITS
     similarly
    0.85
    sylv
    0.78
     similar
    0.76
     analogous
    0.76
    velt
    0.69
    sequently
    0.69
     thereof
    0.68
    omial
    0.66
     equivalents
    0.65
     disagrees
    0.64
    Activations Density 1.494%

    No Known Activations