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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. 6-RES-JB
    11. 7281
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    Explanations

    phrases related to actions or advice, emphasizing the importance or significance of those actions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "meaningful" 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 @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dogs
    -0.76
    nery
    -0.74
     Tycoon
    -0.73
    peak
    -0.67
     Fever
    -0.66
    av
    -0.64
    resp
    -0.63
    bug
    -0.62
    opsis
    -0.62
     rampant
    -0.61
    POSITIVE LOGITS
    terday
    0.97
    itarian
    0.93
    issance
    0.88
    itized
    0.81
    itar
    0.79
    ible
    0.78
    Marginal
    0.77
    ively
    0.75
    soType
    0.74
    MpServer
    0.74
    Activations Density 0.023%

    No Known Activations