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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. 3-RES-JB
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    Explanations

    names of locations, with a focus on the state of Ohio

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Ohio"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ding
    -0.89
    ioned
    -0.83
    ifest
    -0.78
    ynt
    -0.78
    eways
    -0.77
    ript
    -0.77
    imen
    -0.73
    tein
    -0.73
    ãĤ°
    -0.71
    imov
    -0.69
    POSITIVE LOGITS
     Ohio
    0.97
     State
    0.92
     Cavaliers
    0.81
     Buc
    0.80
    Ohio
    0.77
     Springs
    0.77
    sylvania
    0.74
     OH
    0.73
     Wesley
    0.71
     Akron
    0.68
    Activations Density 0.009%

    No Known Activations