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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. 8-RES-JB
    11. 17048
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    Explanations

    texts related to business and economics

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to economic conditions and policies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    estern
    -0.59
    yss
    -0.48
    oret
    -0.48
    regor
    -0.48
    DragonMagazine
    -0.45
     teasp
    -0.43
    idth
    -0.43
    cipled
    -0.42
     Ts
    -0.41
    uckland
    -0.41
    POSITIVE LOGITS
    *.
    1.19
    .</
    1.12
    '.
    1.08
    .''.
    1.05
    .
    1.05
    %.
    1.04
    .).
    1.02
    .[
    0.99
    `.
    0.96
    +.
    0.94
    Activations Density 2.854%

    No Known Activations