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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. 4-RES-JB
    11. 1936
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    Explanations

    proper nouns or names

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of individuals

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

    No Comments

    Negative Logits
    uminati
    -0.70
     nutshell
    -0.64
    Ĥ¬
    -0.62
    Ö
    -0.60
    bernatorial
    -0.59
    ©¶æ
    -0.58
     totality
    -0.57
     lockout
    -0.57
     clipboard
    -0.53
     discipl
    -0.52
    POSITIVE LOGITS
    onga
    0.70
    added
    0.69
    istan
    0.66
     said
    0.62
     wrote
    0.62
     joked
    0.61
    lean
    0.61
     remarked
    0.60
    rien
    0.59
    rily
    0.59
    Activations Density 0.703%

    No Known Activations