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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
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    oai_token-act-pair · gpt-3.5-turbo

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    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
    ĪĴ
    -0.81
    ĺħ
    -0.74
    uilt
    -0.65
    putable
    -0.64
     Forsaken
    -0.61
     chefs
    -0.60
     Butcher
    -0.60
    interstitial
    -0.59
     assimil
    -0.58
    otted
    -0.57
    POSITIVE LOGITS
     indefinitely
    1.00
     prematurely
    0.95
     anew
    0.81
     ASAP
    0.80
    Phase
    0.79
     until
    0.76
     accordingly
    0.74
     momentarily
    0.72
    CTV
    0.71
    STAT
    0.71
    Activations Density 0.575%

    No Known Activations