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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. 5-RES-JB
    6. 3489
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    Explanations

    words related to geographical locations, specifically the river "Tiber"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the substring "iber."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.76
     pity
    -0.69
    urations
    -0.66
    atche
    -0.64
     ath
    -0.62
     Mehran
    -0.61
    isters
    -0.61
    ¬¼
    -0.60
    erness
    -0.59
    Ta
    -0.59
    POSITIVE LOGITS
    tarian
    1.07
    glass
    1.00
    tarians
    0.99
    iber
    0.92
    ulent
    0.85
    glas
    0.84
    gence
    0.78
    dict
    0.77
    gins
    0.77
    nation
    0.76
    Activations Density 0.012%

    No Known Activations