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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. 12253
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    Explanations

    longer prefixes and suffixes related to medical conditions or terms

    oai_token-act-pair · gpt-3.5-turbo

    words related to systemic issues or concepts

    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
    ORED
    -0.70
    DERR
    -0.68
    ãģ®éŃĶ
    -0.67
    inarily
    -0.65
     Grants
    -0.64
     Bucks
    -0.64
    ãĥĩ
    -0.62
    ãĥ¼ãĥĨãĤ£
    -0.61
    UGH
    -0.61
     damned
    -0.61
    POSITIVE LOGITS
    mbol
    1.48
    ntax
    1.21
    thia
    1.11
    nergy
    1.07
    nerg
    1.01
    racuse
    0.96
    bian
    0.95
    philis
    0.95
    bil
    0.94
    cles
    0.89
    Activations Density 0.014%

    No Known Activations