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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. 4-RES-JB
    11. 13430
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    Explanations

    references to specific geographical locations, particularly in relation to nature or landscapes

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific locations or geographical features

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

    No Comments

    Negative Logits
    outer
    -0.72
    iott
    -0.69
    rez
    -0.68
    sis
    -0.67
    arette
    -0.66
    sol
    -0.65
    ther
    -0.63
    endiary
    -0.62
    arettes
    -0.61
    rad
    -0.61
    POSITIVE LOGITS
    auna
    1.07
    selage
    0.93
    olulu
    0.89
    ãħĭãħĭ
    0.86
    ãħĭ
    0.86
     Lumpur
    0.85
    ãĥ¼ãĥĨãĤ£
    0.80
    ãĤĵ
    0.80
    iqueness
    0.78
    ikk
    0.75
    Activations Density 0.012%

    No Known Activations