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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. 17746
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    Explanations

    phrases related to observing or noticing something, often conveying emotions such as excitement, satisfaction, or disappointment

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "to see" in various contexts

    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
    ieri
    -0.74
    ilyn
    -0.67
    pton
    -0.66
    imp
    -0.66
    è£
    -0.65
    orem
    -0.65
    pes
    -0.64
    idation
    -0.63
    neau
    -0.63
    ca
    -0.63
    POSITIVE LOGITS
     someone
    0.86
     somebody
    0.76
     Ichigo
    0.71
    someone
    0.71
     him
    0.68
     how
    0.67
     oneself
    0.67
     them
    0.67
     commenters
    0.67
    terson
    0.65
    Activations Density 0.118%

    No Known Activations