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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. 11-RES-JB
    11. 12234
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    INDEX
    Explanations

    percentage values and rarity levels expressed as a combination of digits and words

    oai_token-act-pair · gpt-3.5-turbo

    terms related to rarity or prevalence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ü
    -0.79
    ²¾
    -0.73
    grass
    -0.67
    ŀ
    -0.65
    Reloaded
    -0.63
    ulence
    -0.62
    Proof
    -0.61
    Pref
    -0.60
     denominations
    -0.59
    Ħ¢
    -0.58
    POSITIVE LOGITS
    ¨
    0.74
    activ
    0.61
    atro
    0.61
     11
    0.60
     7
    0.59
    usky
    0.59
     15
    0.59
     Helpful
    0.58
    usk
    0.58
     8
    0.58
    Activations Density 0.022%

    No Known Activations