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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

    phrases related to stories or accounts of individuals living in various situations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "lived" in various contexts

    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
    une
    -0.74
    ane
    -0.73
    anche
    -0.73
    rush
    -0.69
    ahn
    -0.69
    essee
    -0.68
    ewater
    -0.65
    elight
    -0.64
    ional
    -0.64
    eded
    -0.63
    POSITIVE LOGITS
     Reincarn
    0.86
     liv
    0.82
    lihood
    0.78
     lived
    0.78
     perspect
    0.73
    Living
    0.71
    living
    0.71
     living
    0.70
     differe
    0.69
     abroad
    0.69
    Activations Density 0.005%

    No Known Activations