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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
    11. 5371
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    Explanations

    phrases related to the concept of significant hidden issues or elements that are largely unseen or unknown

    oai_token-act-pair · gpt-3.5-turbo

    references to the metaphor of an "iceberg" to signify hidden issues or underlying problems

    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
    eming
    -0.76
    akin
    -0.75
    parts
    -0.74
    earing
    -0.72
    dos
    -0.71
    purpose
    -0.69
    ceptor
    -0.69
    verb
    -0.69
    porting
    -0.68
    eff
    -0.67
    POSITIVE LOGITS
     iceberg
    1.70
     glacier
    0.89
     lettuce
    0.81
     snowball
    0.78
    inian
    0.75
    ãĤ©
    0.73
     volcano
    0.73
    ãĤ¨ãĥ«
    0.73
     deflation
    0.72
     torped
    0.71
    Activations Density 0.005%

    No Known Activations