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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. 13053
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    Explanations

    phrases or terms related to literal concrete material or actions involving concrete structures

    oai_token-act-pair · gpt-3.5-turbo

    references to concrete, both in a literal and metaphorical sense

    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
     Companion
    -0.73
    irl
    -0.69
    hun
    -0.68
    Hunt
    -0.68
    Meg
    -0.64
    Bot
    -0.63
    yss
    -0.63
    pps
    -0.62
    sam
    -0.62
     Skip
    -0.62
    POSITIVE LOGITS
     concrete
    3.73
    crete
    2.39
     cement
    1.65
     tangible
    1.50
     asphalt
    1.42
     gravel
    1.17
     granite
    1.16
     limestone
    1.14
     steel
    1.12
     pavement
    1.07
    Activations Density 0.016%

    No Known Activations