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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. 7-RES-JB
    11. 3788
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    oai_token-act-pair · gpt-3.5-turbo

    specific film titles or references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    REDACTED
    -0.70
     acknow
    -0.69
     istg
    -0.64
     diplom
    -0.63
     avail
    -0.63
    ãĤ¦ãĤ¹
    -0.62
    xon
    -0.61
    è£ħ
    -0.61
    éĹĺ
    -0.60
    )=(
    -0.60
    POSITIVE LOGITS
    umps
    1.04
    aze
    0.85
    ucks
    0.85
    oots
    0.84
    ixture
    0.84
    igh
    0.84
    ocks
    0.84
    ights
    0.84
    akes
    0.83
    apes
    0.82
    Activations Density 0.187%

    No Known Activations