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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. 9-RES-JB
    11. 11340
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    INDEX
    Explanations

    phrases or words related to specific locations or landmarks

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     mechanically
    -0.73
     normalized
    -0.68
    PLAY
    -0.67
     AMERICA
    -0.67
     flaw
    -0.66
     fictitious
    -0.65
     predictable
    -0.64
     scratch
    -0.64
     brake
    -0.64
     frantic
    -0.64
    POSITIVE LOGITS
    hai
    1.36
    ai
    1.36
    oa
    1.33
    onga
    1.29
    oi
    1.26
    aru
    1.25
    ku
    1.24
    ui
    1.21
    apa
    1.21
    wana
    1.21
    Activations Density 0.344%

    No Known Activations