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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. 3-RES-JB
    11. 8861
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    Explanations

    action verbs related to achieving success or attention

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "garner" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hov
    -0.77
    hal
    -0.68
    cas
    -0.64
    die
    -0.61
    hell
    -0.55
    odd
    -0.55
     Alone
    -0.54
    iosis
    -0.54
    hhhh
    -0.54
    sil
    -0.54
    POSITIVE LOGITS
    ographs
    0.91
    OGR
    0.85
    ãĤ©
    0.77
    eteenth
    0.75
    çĶŁ
    0.74
     garner
    0.72
     renown
    0.72
     garnered
    0.72
    ograp
    0.70
    interstitial
    0.69
    Activations Density 0.012%

    No Known Activations