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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. 7297
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    Explanations

    weaknesses, limitations, or deficiencies in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "lack" and its variations, indicating absence or deficiency

    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
    arc
    -0.66
    pill
    -0.62
    dar
    -0.61
    dry
    -0.60
    oos
    -0.60
    uum
    -0.60
    alyst
    -0.59
    arp
    -0.58
    ramid
    -0.58
    è¦ļéĨĴ
    -0.57
    POSITIVE LOGITS
    lust
    1.05
    luster
    0.83
    lessly
    0.80
     miser
    0.69
    enz
    0.69
     thereof
    0.68
    igue
    0.67
    vana
    0.66
     willpower
    0.66
    yip
    0.65
    Activations Density 0.011%

    No Known Activations