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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

    mentions of the city "Breton"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "ton" in various contexts

    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
    saf
    -0.69
    BILITIES
    -0.69
     actionGroup
    -0.67
     cowork
    -0.66
    CVE
    -0.64
    ulative
    -0.63
     RTX
    -0.62
    Congress
    -0.61
    lik
    -0.60
     unic
    -0.59
    POSITIVE LOGITS
    neau
    1.05
    hyde
    0.94
    ville
    0.94
    tery
    0.93
    igans
    0.90
    ton
    0.87
    mont
    0.86
    rack
    0.85
    stead
    0.85
    atoes
    0.84
    Activations Density 0.013%

    No Known Activations