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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 14589
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    Explanations

    locations or positions described using prepositions

    oai_token-act-pair · gpt-3.5-turbo

    instances of sitting or being in physical proximity to specific locations or objects

    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
    ().
    -0.76
    Ĥİ
    -0.72
    ERO
    -0.70
    EMA
    -0.70
    Ī
    -0.70
     Flavoring
    -0.69
    Course
    -0.68
    ²¾
    -0.68
    ERG
    -0.66
    lance
    -0.65
    POSITIVE LOGITS
     pedest
    0.86
     doorway
    0.82
     throne
    0.80
     benches
    0.80
     darkened
    0.79
     couch
    0.78
     porch
    0.77
     sofa
    0.77
     podium
    0.76
     bushes
    0.75
    Activations Density 0.321%

    No Known Activations