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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. 0-RES-JB
    11. 19908
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    Explanations

    capitalized words or acronyms

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the acronym "OT" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     chau
    -0.70
    fal
    -0.68
     ceilings
    -0.63
    olate
    -0.63
     Grac
    -0.62
     Maw
    -0.61
     ceiling
    -0.60
     Su
    -0.59
     fidelity
    -0.59
     reprodu
    -0.59
    POSITIVE LOGITS
    OT
    4.22
    OTS
    2.75
    OTE
    2.08
    OTT
    1.91
    ots
    1.83
    OTA
    1.80
    ot
    1.74
    OC
    1.50
    OTH
    1.44
    OL
    1.37
    Activations Density 0.008%

    No Known Activations