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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. 3-RES-JB
    11. 24398
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    Explanations

    phrases related to personal experiences or opinions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of personal emotions and experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AMD
    -0.60
    geoning
    -0.57
    taboola
    -0.56
     Claims
    -0.55
    Intel
    -0.53
    ielding
    -0.52
     Historically
    -0.52
    ESA
    -0.52
    AFP
    -0.51
     Experts
    -0.50
    POSITIVE LOGITS
     fuckin
    0.81
     fucking
    0.78
     girlfriends
    0.72
     laugh
    0.71
     goddamn
    0.70
     childish
    0.67
     fucked
    0.67
     jokes
    0.65
     gigg
    0.65
     laughter
    0.65
    Activations Density 3.683%

    No Known Activations