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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. 16899
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    Explanations

    words related to specific names, such as "Horowitz" or "Fenrir"

    oai_token-act-pair · gpt-3.5-turbo

    specific names and terms associated with individuals and scientific concepts

    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
    ety
    -0.84
    ry
    -0.83
    icker
    -0.81
    ciating
    -0.74
    quer
    -0.74
    iron
    -0.72
    lee
    -0.71
    iership
    -0.70
    ewater
    -0.69
    erness
    -0.69
    POSITIVE LOGITS
    çīĪ
    0.91
    ãĤ¡
    0.83
    ESCO
    0.82
    ONSORED
    0.77
    itsch
    0.75
    ÃįÃį
    0.74
    edin
    0.74
    ENDED
    0.72
    CONCLUS
    0.69
    ãĥĩ
    0.69
    Activations Density 0.036%

    No Known Activations