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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. 3-RES-JB
    11. 12456
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    Explanations

    quotations indicated by single quotation marks

    oai_token-act-pair · gpt-3.5-turbo

    the presence of quotation marks and direct speech

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Leilan
    -0.75
     Archdemon
    -0.74
    avorite
    -0.71
     destro
    -0.70
     Izan
    -0.68
     ..............
    -0.68
     Hendricks
    -0.66
     printers
    -0.66
    âĹ¼
    -0.65
    igslist
    -0.65
    POSITIVE LOGITS
    til
    1.25
    cause
    1.20
    Interstitial
    1.11
    -'
    1.09
    tis
    1.07
     ',
    1.06
    Mech
    1.03
    taboola
    0.98
    neath
    0.97
    too
    0.94
    Activations Density 0.037%

    No Known Activations