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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. 2249
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    Explanations

    specific proper nouns related to places or names

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Langley" or similar derivations related to geographic or cultural references

    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
    ÄŁ
    -0.74
    hift
    -0.71
     disapp
    -0.68
     compensated
    -0.68
     mete
    -0.67
    ItemTracker
    -0.67
    ÏĢ
    -0.63
    ×ij
    -0.63
    irements
    -0.60
     listener
    -0.60
    POSITIVE LOGITS
    ford
    1.16
    ley
    1.14
    strom
    1.12
    enberg
    1.10
    dale
    1.03
    ston
    0.97
     Lang
    0.96
    mu
    0.96
    ued
    0.95
    don
    0.95
    Activations Density 0.040%

    No Known Activations