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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. 1-RES-JB
    11. 21229
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    Explanations

    specific locations or places mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various locations or places

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    WARNING
    -0.77
    vous
    -0.72
    HEAD
    -0.71
    TAG
    -0.68
    OK
    -0.63
    Warning
    -0.62
    rance
    -0.62
    icide
    -0.61
    FIN
    -0.61
    Screenshot
    -0.61
    POSITIVE LOGITS
     Places
    1.18
     places
    1.06
    bos
    0.98
    places
    0.94
     locations
    0.91
    abouts
    0.82
    place
    0.81
     destinations
    0.78
    pots
    0.77
    ername
    0.76
    Activations Density 0.018%

    No Known Activations