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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. 4051
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    Explanations

    patterns in date and location references

    oai_token-act-pair · gpt-3.5-turbo

    references to specific dates, events, and locations

    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
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    No Comments

    Negative Logits
    >[
    -0.63
    Ħ¢
    -0.61
    ]."
    -0.61
    volent
    -0.61
    .</
    -0.59
    åĮ
    -0.59
     allergic
    -0.58
     allergy
    -0.58
    ].
    -0.57
    .).
    -0.56
    POSITIVE LOGITS
     Curve
    0.61
    antage
    0.56
    rontal
    0.56
     Clicker
    0.55
    xtap
    0.55
     Bris
    0.54
     POV
    0.53
    Stretch
    0.52
     NX
    0.51
     SQ
    0.51
    Activations Density 1.485%

    No Known Activations