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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. 9705
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    Explanations

    words related to assessments, evaluations, and assertion of positions

    oai_token-act-pair · gpt-3.5-turbo
    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
    vation
    -0.71
    thy
    -0.68
     Sparkle
    -0.66
     XD
    -0.65
    ttes
    -0.64
    çĦ
    -0.62
    BLE
    -0.60
     Materials
    -0.60
     thin
    -0.60
     Albion
    -0.58
    POSITIVE LOGITS
    imilation
    1.43
    ortment
    1.37
    essor
    1.31
    assin
    1.24
    sembly
    1.22
    umption
    1.22
    essing
    1.20
    essment
    1.20
    oci
    1.16
    isted
    1.15
    Activations Density 0.015%

    No Known Activations