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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. 1-RES-JB
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    Explanations

    expressions of desire or intention

    oai_token-act-pair · gpt-3.5-turbo

    expressions of desire or intent

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    è¦ļéĨĴ
    -0.78
    Newsletter
    -0.74
    SPONSORED
    -0.73
    eding
    -0.72
    reading
    -0.71
    fell
    -0.71
    sk
    -0.70
    uum
    -0.70
    VERTISEMENT
    -0.69
    lite
    -0.68
    POSITIVE LOGITS
    reprene
    0.79
     warr
    0.77
     wants
    0.75
     wanted
    0.70
    urities
    0.69
     herself
    0.67
     extrad
    0.66
    terday
    0.65
     want
    0.65
     to
    0.63
    Activations Density 0.022%

    No Known Activations