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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. 20269
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    Explanations

    phrases related to warnings or alerts

    oai_token-act-pair · gpt-3.5-turbo

    references to government and regulatory issues

    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
    Dialogue
    -0.69
     [&
    -0.66
    endix
    -0.66
    CI
    -0.65
    elta
    -0.64
    cius
    -0.61
    erity
    -0.60
    pmwiki
    -0.60
    morrow
    -0.58
    POL
    -0.58
    POSITIVE LOGITS
     utilizing
    0.86
     utilized
    0.81
     however
    0.74
     technologically
    0.66
     due
    0.65
     advancements
    0.65
     utilizes
    0.63
     utilize
    0.63
     financially
    0.62
     infringing
    0.59
    Activations Density 2.030%

    No Known Activations