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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. 23367
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    expressions of dissatisfaction or complaints

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    estyles
    -0.61
    ãĤ´ãĥ³
    -0.58
    endum
    -0.57
     Timeline
    -0.56
    iece
    -0.56
     Canaver
    -0.55
    ãĥ©
    -0.55
    ãĤ»
    -0.53
    ished
    -0.53
    ubuntu
    -0.53
    POSITIVE LOGITS
    they
    1.19
     THEY
    1.16
    their
    1.15
    They
    1.14
     theirs
    1.12
     THEIR
    1.12
     they
    1.10
     They
    0.98
     themselves
    0.98
    Their
    0.94
    Activations Density 1.317%

    No Known Activations