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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. 2-RES-JB
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    Explanations

    references to the animal "fox"

    oai_token-act-pair · gpt-3.5-turbo

    references to foxes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Interstitial
    -0.74
    ETH
    -0.72
    Effective
    -0.71
    âĹ¼
    -0.65
    FINE
    -0.64
    apter
    -0.64
     blinding
    -0.63
    adding
    -0.62
    itutional
    -0.62
    Definition
    -0.62
    POSITIVE LOGITS
    conn
    1.06
    fox
    1.05
    es
    1.00
     fox
    0.95
    hound
    0.92
    bat
    0.90
    eln
    0.88
    esy
    0.81
     squirrel
    0.81
    holes
    0.80
    Activations Density 0.009%

    No Known Activations