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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. 8799
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    Explanations

    prepositions followed by locations or objects

    oai_token-act-pair · gpt-3.5-turbo

    references to locations and environments

    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
    )=
    -0.65
    Politics
    -0.63
    bernatorial
    -0.62
    -)
    -0.60
    Reviewer
    -0.59
     Ange
    -0.59
    opal
    -0.58
    hya
    -0.57
    wcsstore
    -0.56
    ITNESS
    -0.55
    POSITIVE LOGITS
     hoping
    1.04
     undet
    0.91
     intending
    0.90
     effortlessly
    0.87
     disg
    0.85
     pretending
    0.85
     onto
    0.80
     proclaiming
    0.80
     while
    0.80
     using
    0.76
    Activations Density 0.813%

    No Known Activations