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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. 6-RES-JB
    11. 3550
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    INDEX
    Explanations

    quantifiers denoting a large or notable quantity

    oai_token-act-pair · gpt-3.5-turbo

    terms related to quantity and existence within a group or population

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     syndrome
    -0.66
    air
    -0.61
    ight
    -0.61
    fuck
    -0.60
    orde
    -0.60
    itivity
    -0.59
    doesn
    -0.58
     Think
    -0.58
    noon
    -0.57
    ority
    -0.57
    POSITIVE LOGITS
     notably
    0.74
    accompanied
    0.71
     resembling
    0.70
     prominently
    0.69
     belonging
    0.69
     totaling
    0.68
     preferring
    0.66
     consisting
    0.66
     accompanied
    0.65
     intending
    0.65
    Activations Density 0.143%

    No Known Activations