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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. 0-RES-JB
    11. 2523
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    Explanations

    phrases related to origins or sources of events or things

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "came."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ivating
    -0.61
    ible
    -0.61
    rx
    -0.59
    ript
    -0.58
    chest
    -0.58
    coord
    -0.55
    "],"
    -0.55
    oret
    -0.54
    online
    -0.54
    abus
    -0.53
    POSITIVE LOGITS
     came
    3.00
     comes
    2.05
     arrived
    1.95
     sprang
    1.93
     arose
    1.92
     Came
    1.81
     went
    1.71
     emerged
    1.63
     took
    1.55
     became
    1.54
    Activations Density 0.030%

    No Known Activations