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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. 11-RES-JB
    11. 11849
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    Explanations

    phrases related to analyzing or detailing various aspects of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases that reference various aspects or components of a topic

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    amaz
    -0.76
    arus
    -0.58
    byter
    -0.58
    anders
    -0.57
     Mellon
    -0.56
    tails
    -0.55
    tell
    -0.54
    ope
    -0.54
    ESCO
    -0.53
    itto
    -0.53
    POSITIVE LOGITS
     of
    1.24
     thereof
    1.22
    Of
    0.90
     Of
    0.87
     OF
    0.83
    of
    0.80
    OF
    0.74
    hetical
    0.72
    ality
    0.70
    raints
    0.69
    Activations Density 0.079%

    No Known Activations