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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. 2816
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    Explanations

    phrases related to negative or harmful actions and contexts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to exploitation and social issues

    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
    leans
    -0.86
    inez
    -0.86
    facing
    -0.84
    fax
    -0.82
    reflect
    -0.80
    versible
    -0.77
     directions
    -0.75
    announced
    -0.73
    arations
    -0.71
    notice
    -0.71
    POSITIVE LOGITS
     Frenzy
    1.00
     imagination
    0.90
     myth
    0.82
     delusions
    0.81
     frenzy
    0.81
     ego
    0.81
     Growth
    0.79
     souls
    0.79
     crocod
    0.79
     Chocobo
    0.78
    Activations Density 0.504%

    No Known Activations