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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. 2-RES-JB
    11. 4316
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    Explanations

    references to activities or events happening on a sports field

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of the word "field" in various contexts, particularly related to sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ILA
    -0.75
    Lear
    -0.70
    Priv
    -0.69
    Crime
    -0.68
    mins
    -0.68
    éĹĺ
    -0.68
    luaj
    -0.67
    lishes
    -0.66
    âĨij
    -0.66
    Es
    -0.65
    POSITIVE LOGITS
    ilage
    0.79
    cloth
    0.71
     stret
    0.68
    ologne
    0.67
    keepers
    0.66
     batting
    0.65
     rink
    0.64
     sob
    0.64
    eering
    0.64
     fields
    0.63
    Activations Density 0.024%

    No Known Activations