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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. 8-RES-JB
    11. 680
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    INDEX
    Explanations

    phrases related to physical locations or areas

    oai_token-act-pair · gpt-3.5-turbo

    references to entrances or exits

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rior
    -0.77
    irit
    -0.67
    atche
    -0.65
    riter
    -0.64
    aceous
    -0.62
    nian
    -0.62
    conn
    -0.60
    akable
    -0.60
    amera
    -0.60
    kus
    -0.60
    POSITIVE LOGITS
     thereto
    1.06
    prise
    1.00
    tainment
    0.93
    prises
    0.87
     portals
    0.84
    ways
    0.82
    ococ
    0.81
     gates
    0.81
     entrance
    0.76
    Exit
    0.75
    Activations Density 0.029%

    No Known Activations