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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. 7251
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    Explanations

    proper nouns or specific names, likely starting with 'Sh'

    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
    etheless
    -0.94
     numbered
    -0.81
    ãĥ¼ãĥĨãĤ£
    -0.78
     Ajax
    -0.71
    ãĥ¼ãĥĨ
    -0.70
    anwhile
    -0.69
     Leth
    -0.69
     NEO
    -0.67
     coupled
    -0.66
    OLOGY
    -0.65
    POSITIVE LOGITS
    allow
    1.30
    attering
    1.23
    ooting
    1.19
    rapnel
    1.18
    ifting
    1.17
    aping
    1.16
    apesh
    1.15
    atter
    1.15
    ackle
    1.14
    irts
    1.14
    Activations Density 0.024%

    No Known Activations