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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 6238
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    Explanations

    mentions of specific types of animals, particularly foxes

    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 @ 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
    assy
    -0.76
    apter
    -0.70
     contrace
    -0.69
    rians
    -0.67
     Edison
    -0.67
     Carmen
    -0.65
     Commonwealth
    -0.65
     Lumpur
    -0.64
    rella
    -0.64
     inval
    -0.62
    POSITIVE LOGITS
    conn
    1.29
    es
    0.96
    holes
    0.93
    hole
    0.86
    haw
    0.85
    y
    0.85
    esy
    0.82
    eur
    0.82
    croft
    0.81
    worthy
    0.81
    Activations Density 0.032%

    No Known Activations