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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. 2-RES-JB
    11. 14804
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    Explanations

    person names and locations

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names associated with media and public figures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    illard
    -0.89
    alan
    -0.86
    alus
    -0.86
    rity
    -0.81
    usc
    -0.78
    esville
    -0.76
    spring
    -0.75
    resses
    -0.72
    nsics
    -0.71
    istry
    -0.70
    POSITIVE LOGITS
     Morse
    1.06
    XM
    0.83
     radios
    0.77
     transmitter
    0.76
     Broadcast
    0.76
     Shack
    0.76
     broadcasts
    0.75
     FCC
    0.75
     submar
    0.74
    TY
    0.73
    Activations Density 0.013%

    No Known Activations