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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. 7-RES-JB
    11. 3126
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    Explanations

    mentions of specific years or seasons

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     textual
    -0.64
    Plot
    -0.63
    abilia
    -0.63
    Entry
    -0.62
    Asia
    -0.61
    Software
    -0.60
    Maker
    -0.59
    Keys
    -0.59
    Notice
    -0.59
    itialized
    -0.58
    POSITIVE LOGITS
    âĢ²
    0.73
     marked
    0.68
    when
    0.67
     when
    0.66
     Dolphin
    0.63
    女
    0.62
     Oops
    0.62
     belonged
    0.61
     saw
    0.59
    ruary
    0.58
    Activations Density 0.129%

    No Known Activations