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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. 1-RES-JB
    11. 22087
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    Explanations

    terms related to concepts that are not fully developed or have a simulated appearance

    oai_token-act-pair · gpt-3.5-turbo

    terms related to misleading or false classifications and ideologies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    negie
    -0.73
     ILCS
    -0.71
    lain
    -0.70
    rike
    -0.70
    glass
    -0.69
    士
    -0.66
    Afee
    -0.66
    mson
    -0.63
    ilan
    -0.62
    hips
    -0.62
    POSITIVE LOGITS
     pseudo
    0.82
    etheless
    0.78
    chal
    0.77
    quel
    0.76
    udo
    0.76
     compr
    0.74
    spective
    0.72
     quasi
    0.71
    jan
    0.70
    eco
    0.70
    Activations Density 0.009%

    No Known Activations