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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
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    Explanations

    instances of the word "found."

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "found."

    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
     indign
    -0.65
     paced
    -0.64
    cussion
    -0.63
    assisted
    -0.63
    atever
    -0.60
     trauma
    -0.59
     partic
    -0.59
    dates
    -0.58
    mph
    -0.58
    BIP
    -0.58
    POSITIVE LOGITS
    Ô
    0.92
    ãĤ¦
    0.86
    ãĤ¼
    0.83
    ãģ®å
    0.77
    %%%%
    0.77
    omorphic
    0.75
    ById
    0.75
    ĸļ
    0.74
    -+-+
    0.74
    âĸĪ
    0.73
    Activations Density 0.044%

    No Known Activations