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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. 7-RES-JB
    11. 14550
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    Explanations

    words related to sharp objects or sudden increases

    oai_token-act-pair · gpt-3.5-turbo

    terms related to sudden increases or spikes in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    İ
    -0.73
    Ĵ
    -0.70
    ACTED
    -0.66
    sburg
    -0.66
    otype
    -0.65
    voc
    -0.64
     Pione
    -0.63
     Incarnation
    -0.63
    bis
    -0.62
    YA
    -0.61
    POSITIVE LOGITS
    balls
    0.80
    rites
    0.75
    olicy
    0.74
     spikes
    0.70
     spike
    0.67
    cake
    0.66
    HAEL
    0.66
    plug
    0.63
    cakes
    0.63
    lar
    0.62
    Activations Density 0.030%

    No Known Activations