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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. 9-RES-JB
    11. 19862
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    INDEX
    Explanations

    mentions of specific entities or institutions

    oai_token-act-pair · gpt-3.5-turbo

    instances that point to significant themes or topics within the text, often signaling the beginning of important statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     beforehand
    -0.85
    Ò
    -0.77
    pection
    -0.70
    estamp
    -0.69
    thood
    -0.68
    gpu
    -0.68
    Finish
    -0.67
    TION
    -0.67
    !!!!
    -0.66
    Iterator
    -0.65
    POSITIVE LOGITS
    oret
    1.22
     proliferation
    1.09
     emergence
    1.08
    ories
    1.08
    resa
    1.04
     vast
    1.03
     sheer
    1.02
    odore
    1.01
     simplest
    1.00
     inability
    0.98
    Activations Density 0.542%

    No Known Activations