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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. 0-RES-JB
    11. 13250
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    Explanations

    phrases related to geographical locations with a focus on fields

    oai_token-act-pair · gpt-3.5-turbo

    references to "fields" in various contexts, particularly regarding land or areas affected by circumstances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     sob
    -0.73
     necessity
    -0.72
     ass
    -0.67
     tire
    -0.65
     grace
    -0.65
     bicycle
    -0.64
     nature
    -0.64
     wrench
    -0.64
     truck
    -0.63
     joy
    -0.63
    POSITIVE LOGITS
    fields
    3.34
    facts
    1.26
     briefed
    1.05
    stones
    1.01
    parts
    1.01
    math
    1.00
    strip
    1.00
    banks
    0.99
    SSL
    0.96
    types
    0.94
    Activations Density 0.051%

    No Known Activations