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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. 7-RES-JB
    11. 13773
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    Explanations

    words related to chairs or seating arrangements

    oai_token-act-pair · gpt-3.5-turbo

    words related to various forms or types of government and social organization

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FORMATION
    -0.63
    !/
    -0.63
     gorilla
    -0.61
     trophy
    -0.58
     tf
    -0.58
     Annotations
    -0.57
    avorite
    -0.57
     classification
    -0.57
     crowd
    -0.56
     entrance
    -0.56
    POSITIVE LOGITS
    anooga
    0.89
    Ĥ
    0.83
    apo
    0.79
    wick
    0.78
    ĥ
    0.77
    ocol
    0.74
    rol
    0.74
    obyl
    0.73
    §
    0.73
    kat
    0.71
    Activations Density 0.064%

    No Known Activations