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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. 3-RES-JB
    11. 15995
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    Explanations

    terms related to water bodies

    oai_token-act-pair · gpt-3.5-turbo

    references to water and its various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     imagination
    -0.71
    RON
    -0.70
    GBT
    -0.68
    uls
    -0.65
    ULE
    -0.65
    uler
    -0.64
    ERO
    -0.63
    ============
    -0.63
     behold
    -0.63
     invention
    -0.62
    POSITIVE LOGITS
    melon
    1.29
    water
    1.08
    proof
    0.84
    drop
    0.79
    dropping
    0.79
    marked
    0.79
    mill
    0.77
    ionage
    0.77
    orthy
    0.76
    stones
    0.74
    Activations Density 0.018%

    No Known Activations