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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. 3486
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    INDEX
    Explanations

    adjectives and verbs related to strong emotions and impact

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating significant and impactful experiences

    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
     Proceed
    -0.92
    Enlarge
    -0.86
    oward
    -0.80
    ccess
    -0.78
    ocobo
    -0.77
    ]).
    -0.75
    ssl
    -0.74
     Continuing
    -0.74
    continue
    -0.73
    ð
    -0.73
    POSITIVE LOGITS
     sleek
    0.90
     literally
    0.86
     everywhere
    0.86
     relentless
    0.84
     witty
    0.76
     uncanny
    0.76
     endlessly
    0.74
     effortlessly
    0.74
     relentlessly
    0.73
     cerebral
    0.73
    Activations Density 0.590%

    No Known Activations