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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. 6-RES-JB
    11. 20561
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    Explanations

    emotionally charged words related to personal opinions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of negative emotions and desires

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    artney
    -0.79
    Args
    -0.72
    alities
    -0.71
    irlf
    -0.70
    eus
    -0.66
    iscons
    -0.62
    icidal
    -0.62
    aker
    -0.62
    atum
    -0.61
    emetery
    -0.60
    POSITIVE LOGITS
     myself
    1.02
    poke
    0.84
     paraph
    0.74
     personally
    0.73
    arest
    0.68
     ital
    0.65
    ²¾
    0.65
    rast
    0.63
    §
    0.63
     sincerely
    0.61
    Activations Density 0.178%

    No Known Activations