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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. 20038
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    Explanations

    phrases denoting something significant or noteworthy

    oai_token-act-pair · gpt-3.5-turbo

    phrases that imply various forms of "something of" or "something as," indicating a description or classification

    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
    pak
    -0.72
    ritic
    -0.69
    eland
    -0.69
    yd
    -0.68
    fts
    -0.66
    BILITIES
    -0.65
    ctors
    -0.65
    ids
    -0.64
    ctions
    -0.64
    ffect
    -0.63
    POSITIVE LOGITS
     gamble
    0.65
    gettable
    0.65
     kit
    0.64
     inev
    0.64
     limbo
    0.63
     anomaly
    0.61
     an
    0.60
     a
    0.60
     fide
    0.60
     omission
    0.59
    Activations Density 0.039%

    No Known Activations