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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. 6-RES-JB
    11. 7363
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    quotes and phrases that indicate significance or a formal statement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Bots
    -0.81
    Vert
    -0.77
    anders
    -0.74
     Cups
    -0.74
     trails
    -0.73
    models
    -0.72
     ankles
    -0.72
     lasers
    -0.70
     Trails
    -0.70
     poisons
    -0.69
    POSITIVE LOGITS
    illary
    0.84
     standpoint
    0.79
    achable
    0.75
    amic
    0.74
    querque
    0.71
    estinal
    0.68
    atable
    0.67
     perspective
    0.67
    ignant
    0.65
    ixir
    0.65
    Activations Density 0.318%

    No Known Activations