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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. 7784
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    Explanations

    numeric references

    oai_token-act-pair · gpt-3.5-turbo

    questions regarding quantities or counts

    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
    undle
    -0.78
    ¶æ
    -0.75
    allery
    -0.74
    HF
    -0.73
    ital
    -0.70
    UAL
    -0.70
    hern
    -0.69
    ħĭ
    -0.69
    arity
    -0.69
    icka
    -0.68
    POSITIVE LOGITS
     times
    1.14
     iterations
    0.88
     calories
    0.87
     servings
    0.86
     parentheses
    0.84
     repet
    0.83
     copies
    0.80
     miles
    0.78
     people
    0.78
     thousand
    0.77
    Activations Density 0.019%

    No Known Activations