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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. 24268
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    Explanations

    words related to the future or potential outcomes

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "eventual" and its variations, indicating discussions about anticipated outcomes or results

    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
    PAC
    -0.74
    raph
    -0.70
    lua
    -0.68
    emen
    -0.67
    ogun
    -0.67
    yer
    -0.67
    agency
    -0.66
    mson
    -0.66
    rooms
    -0.65
    burg
    -0.65
    POSITIVE LOGITS
    ity
    0.94
    ities
    0.93
     demise
    0.90
     downfall
    0.90
    aneously
    0.82
    ITY
    0.80
     embodiments
    0.80
     eventual
    0.80
     winner
    0.75
     legalization
    0.74
    Activations Density 0.006%

    No Known Activations