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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. 9-RES-JB
    11. 4179
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    Explanations

    actions or processes

    oai_token-act-pair · gpt-3.5-turbo

    gerunds and present participles related to causation or process

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    thia
    -0.79
    rina
    -0.68
     presided
    -0.60
    ----------
    -0.60
    Flags
    -0.58
    nai
    -0.57
    swick
    -0.56
     scrimmage
    -0.56
    Hen
    -0.56
    UGH
    -0.55
    POSITIVE LOGITS
    hift
    1.08
     sure
    1.02
     sense
    0.98
     it
    0.85
     mockery
    0.74
     them
    0.73
     landfall
    0.72
     matters
    0.68
    phas
    0.66
    orno
    0.66
    Activations Density 0.089%

    No Known Activations