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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. 8-RES-JB
    11. 11742
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases suggesting testing or experimentation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    dylib
    -0.64
    head
    -0.64
    atform
    -0.64
    edly
    -0.61
    resent
    -0.60
    HEAD
    -0.60
    effect
    -0.57
     ensu
    -0.57
    Plot
    -0.56
    ifa
    -0.56
    POSITIVE LOGITS
     unsuccessfully
    0.99
    nir
    0.90
     harder
    0.80
    irtual
    0.74
    anke
    0.72
    ãĥīãĥ©
    0.69
    outs
    0.67
    bles
    0.67
    ãĤ§
    0.67
    ures
    0.65
    Activations Density 0.050%

    No Known Activations