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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. 3-RES-JB
    11. 16835
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    Explanations

    references to physical spaces or routes, particularly corridors

    oai_token-act-pair · gpt-3.5-turbo

    references to "corridors" or pathways, both literally and metaphorically

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    estamp
    -0.80
    iak
    -0.79
    odium
    -0.76
    itude
    -0.71
    hur
    -0.69
    hiro
    -0.69
    itsu
    -0.68
    tle
    -0.67
    icial
    -0.67
    sonian
    -0.67
    POSITIVE LOGITS
     corridors
    1.11
    ridor
    1.04
     Corridor
    1.03
     corridor
    1.01
    ttes
    0.86
     passages
    0.84
     routes
    0.82
     divid
    0.80
    ways
    0.78
     segments
    0.75
    Activations Density 0.016%

    No Known Activations