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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. 7430
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    Explanations

    the word "be" followed by a number on a scale where higher numbers correspond to a stronger match

    oai_token-act-pair · gpt-3.5-turbo

    the word "be" and its variations in the context of existence or state of being

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    edIn
    -0.71
     Azerb
    -0.68
     Seym
    -0.68
     Niet
    -0.65
    âĨij
    -0.64
     Kurd
    -0.64
     prest
    -0.61
    å¥
    -0.61
     srfAttach
    -0.60
    0001
    -0.59
    POSITIVE LOGITS
    Í
    0.79
    ardless
    0.74
    yond
    0.73
    ams
    0.70
    xt
    0.70
    heading
    0.69
    ige
    0.68
    cloud
    0.68
    hemoth
    0.67
    ause
    0.67
    Activations Density 0.039%

    No Known Activations