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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
    11. 9203
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    Explanations

    references to real-life events or situations

    oai_token-act-pair · gpt-3.5-turbo

    references to real-life situations and experiences

    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
     Neh
    -0.71
    atin
    -0.70
    DEP
    -0.69
    Whit
    -0.67
    Bone
    -0.64
     Reb
    -0.62
     healed
    -0.62
     Votes
    -0.61
    ATT
    -0.60
    ategories
    -0.60
    POSITIVE LOGITS
     scenarios
    0.76
    naissance
    0.74
    âĶĢâĶĢâĶĢâĶĢ
    0.74
     embodiment
    0.73
    rences
    0.71
     scenario
    0.70
    rencies
    0.70
    izable
    0.68
    liness
    0.67
    figure
    0.66
    Activations Density 0.019%

    No Known Activations