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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. 4459
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    Explanations

    phrases related to putting something in a certain place or position

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to placing or positioning entities in specific contexts or situations

    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
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    No Comments

    Negative Logits
    uracy
    -0.80
    urious
    -0.76
    isan
    -0.70
    artifacts
    -0.67
    scl
    -0.67
    glers
    -0.66
    assadors
    -0.65
    embed
    -0.64
    eni
    -0.64
    xp
    -0.64
    POSITIVE LOGITS
     pedest
    0.83
     jeopardy
    0.79
     disadvantage
    0.70
     throats
    0.64
     humiliating
    0.62
     damn
    0.62
     shame
    0.60
     podium
    0.60
    istine
    0.60
     burner
    0.58
    Activations Density 0.162%

    No Known Activations