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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. 2-RES-JB
    11. 8147
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    Explanations

    short phrases related to rewards or pledges with high values or offers

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ÄŁ
    -0.81
    Drive
    -0.70
    ATTLE
    -0.65
    Published
    -0.61
    clerosis
    -0.60
     Daly
    -0.59
    Merit
    -0.59
    ktop
    -0.58
     Dur
    -0.57
     Dav
    -0.57
    POSITIVE LOGITS
    haps
    0.81
    sburgh
    0.78
    ongyang
    0.78
    chedel
    0.77
    asant
    0.75
    sylvania
    0.73
    asus
    0.73
    lator
    0.71
     nipples
    0.69
    formance
    0.68
    Activations Density 0.303%

    No Known Activations