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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. 10497
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    Explanations

    personal names

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals and their actions or involvement in various contexts

    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
    aukee
    -0.77
    Same
    -0.68
    tz
    -0.68
     Verse
    -0.65
     Cous
    -0.65
    atown
    -0.64
    zac
    -0.62
    las
    -0.60
    stairs
    -0.58
    igate
    -0.57
    POSITIVE LOGITS
     accordingly
    1.35
     consequently
    1.27
     therefore
    0.96
     thereafter
    0.87
     alike
    0.87
     understandably
    0.86
     certainly
    0.86
     therein
    0.82
     unsurprisingly
    0.82
     doubtless
    0.80
    Activations Density 0.488%

    No Known Activations