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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. 9-RES-JB
    11. 7259
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    Explanations

    names and titles of entities such as people, places, or organizations

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and names of organizations or institutions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    20439
    -0.63
    ©¶æ
    -0.58
    ¶ħ
    -0.57
    ĻĤ
    -0.57
    lihood
    -0.57
    ©¶æ¥µ
    -0.55
    ************
    -0.53
     indecent
    -0.52
    ãĥķãĤ¡
    -0.52
     srfAttach
    -0.51
    POSITIVE LOGITS
    ees
    0.68
     possesses
    0.67
    ancers
    0.66
     performs
    0.65
     boasts
    0.64
    udos
    0.64
    isms
    0.64
     specializes
    0.64
    âĢ²
    0.64
     spends
    0.63
    Activations Density 0.366%

    No Known Activations