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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. 4276
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    Explanations

    descriptions of events happening in different locations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "the" in various contexts

    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
    lance
    -0.72
     distinguishes
    -0.71
    udder
    -0.70
     teamed
    -0.69
    loads
    -0.69
    =""
    -0.67
     substit
    -0.65
    ohan
    -0.65
     definitely
    -0.64
    ãĥĥãĥī
    -0.63
    POSITIVE LOGITS
     outskirts
    1.10
     plaza
    1.04
     premises
    1.00
     city
    0.99
     courthouse
    0.98
     vicinity
    0.93
     clubhouse
    0.93
     Plaza
    0.92
     same
    0.91
     café
    0.91
    Activations Density 0.427%

    No Known Activations