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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. 3-RES-JB
    11. 23132
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    Explanations

    phrases related to locations, specifically ranches

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific ranches or areas associated with ranching

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ABLE
    -0.69
    attering
    -0.67
    */(
    -0.62
     Admir
    -0.61
     Commonwealth
    -0.61
     Eucl
    -0.60
     Bucc
    -0.58
    lihood
    -0.58
     Bened
    -0.58
    CONT
    -0.57
    POSITIVE LOGITS
     ranch
    1.09
     Ranch
    0.98
    ing
    0.84
    otle
    0.84
     Bundy
    0.81
    ington
    0.78
    aign
    0.78
    bda
    0.77
    mint
    0.77
    oir
    0.76
    Activations Density 0.008%

    No Known Activations