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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. 6-RES-JB
    11. 5600
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    Explanations

    mentions of specific locations

    oai_token-act-pair · gpt-3.5-turbo

    the preposition "in."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     convol
    -0.76
    llor
    -0.73
     destro
    -0.72
     thous
    -0.66
     fortun
    -0.65
     vulner
    -0.63
    alore
    -0.62
    wagon
    -0.62
     blat
    -0.60
    edIn
    -0.60
    POSITIVE LOGITS
     lieu
    1.08
    clusions
    0.99
     accordance
    0.99
    clus
    0.93
     conjunction
    0.91
    patient
    0.86
     favor
    0.83
     vitro
    0.83
     addition
    0.83
    ordinate
    0.82
    Activations Density 0.242%

    No Known Activations