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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. 3216
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    Explanations

    financial and economic information or news

    oai_token-act-pair · gpt-3.5-turbo

    the presence of an end-of-text token

    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
     eleph
    -0.79
     respons
    -0.79
     habit
    -0.79
     appe
    -0.77
     tram
    -0.76
     beh
    -0.76
     prec
    -0.75
     wiser
    -0.75
     perce
    -0.75
     scrap
    -0.74
    POSITIVE LOGITS
    Reviewed
    1.40
    WASHINGTON
    1.36
    Posted
    1.36
    Updated
    1.35
    SAN
    1.34
    Abstract
    1.33
    Details
    1.33
    TOR
    1.33
    Introduction
    1.33
    Written
    1.32
    Activations Density 0.105%

    No Known Activations