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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 9-RES-JB
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    Explanations

    proper nouns related to geographical locations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Valley" in various contexts

    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
    urated
    -0.88
    nl
    -0.83
    ulative
    -0.79
    thood
    -0.76
    lio
    -0.75
    usterity
    -0.74
    acles
    -0.74
    ramer
    -0.74
    earance
    -0.73
    gettable
    -0.71
    POSITIVE LOGITS
     Forge
    1.09
     Valley
    0.77
     Unified
    0.77
     Grizzlies
    0.76
     Fever
    0.75
    zx
    0.75
     Farms
    0.72
     Regional
    0.72
     Parkway
    0.71
     Roads
    0.70
    Activations Density 0.045%

    No Known Activations