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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. 13749
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    Explanations

    words related to endings or conclusions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to failure and outcomes

    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
     notation
    -0.62
     Guards
    -0.59
    inis
    -0.59
     Canal
    -0.59
     reminder
    -0.58
     Clar
    -0.55
    cius
    -0.55
    Sher
    -0.54
     Knot
    -0.54
     drill
    -0.53
    POSITIVE LOGITS
     someday
    1.10
     sooner
    0.99
     anytime
    0.98
     soon
    0.86
     unless
    0.84
     tomorrow
    0.78
     eventually
    0.74
     sometime
    0.74
     differently
    0.74
    enance
    0.74
    Activations Density 0.455%

    No Known Activations