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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. 9867
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    Explanations

    short sequences of characters that form URLs or IP addresses

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of numerical data and quantifiable expressions

    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
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    No Comments

    Negative Logits
    é¾įå
    -0.89
    ahime
    -0.82
    avis
    -0.80
    aman
    -0.78
     Aus
    -0.77
    avia
    -0.76
    avid
    -0.74
    av
    -0.74
     consum
    -0.73
     Agric
    -0.73
    POSITIVE LOGITS
    rand
    0.82
     fri
    0.72
     lapt
    0.70
    lett
    0.70
    quickShipAvailable
    0.68
     finger
    0.68
    ksh
    0.67
    LET
    0.66
    ricks
    0.66
     fingert
    0.65
    Activations Density 0.778%

    No Known Activations