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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. 3-RES-JB
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    Explanations

    mentions of the word "lunch"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "lunch" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    verett
    -0.66
     ministry
    -0.65
    lling
    -0.62
     corps
    -0.61
     vocational
    -0.60
    hiba
    -0.60
     duct
    -0.59
     residential
    -0.58
    ecast
    -0.57
    chemical
    -0.57
    POSITIVE LOGITS
     GOODMAN
    0.90
    unch
    0.86
    anging
    0.83
    atoes
    0.82
    atters
    0.81
    asted
    0.81
    alos
    0.81
    istas
    0.76
    aku
    0.75
    ools
    0.74
    Activations Density 0.009%

    No Known Activations