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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. 7-RES-JB
    11. 11366
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    Explanations

    locations based on city names

    oai_token-act-pair · gpt-3.5-turbo

    geographical references related to places followed by a hyphen and specific functions or attributes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     thumbs
    -0.74
     showers
    -0.74
     FML
    -0.72
     indicators
    -0.72
     replay
    -0.71
    ovie
    -0.71
     lantern
    -0.70
     coefficient
    -0.69
     coefficients
    -0.69
     shade
    -0.68
    POSITIVE LOGITS
    based
    1.39
    style
    1.21
    area
    1.21
    centric
    1.19
    themed
    1.15
    sized
    1.14
    derived
    1.11
    focused
    1.08
    produced
    1.08
    induced
    1.07
    Activations Density 0.067%

    No Known Activations