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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. 4-RES-JB
    6. 159
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    Explanations

    the word "battalion" or variations of it

    oai_token-act-pair · gpt-3.5-turbo

    terms related to battalions and their roles in military contexts

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

    No Comments

    Negative Logits
    çīĪ
    -0.80
    ãĥĪ
    -0.77
     Franken
    -0.76
     Sabha
    -0.67
    ãĥĻ
    -0.66
     Wembley
    -0.63
    KEN
    -0.61
     Apollo
    -0.61
     Founders
    -0.60
    ktop
    -0.60
    POSITIVE LOGITS
    alions
    1.22
    leground
    1.01
    anche
    0.92
    lest
    0.88
    ety
    0.87
    arding
    0.86
    acco
    0.86
    erers
    0.85
    azes
    0.84
    ouses
    0.83
    Activations Density 0.020%

    No Known Activations