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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. 3833
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    Explanations

    details related to an individual's experience or actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to significant events or experiences involving individuals

    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
    )."
    -0.80
    hovah
    -0.71
    )</
    -0.70
     ensures
    -0.68
     allows
    -0.63
     strengthens
    -0.61
    odi
    -0.59
     provides
    -0.59
     enables
    -0.57
    adj
    -0.56
    POSITIVE LOGITS
     fateful
    0.57
     roses
    0.56
     festivities
    0.54
     sooner
    0.53
     yesterday
    0.53
     pandemonium
    0.53
    ruck
    0.53
    wered
    0.52
    lled
    0.52
     nor
    0.51
    Activations Density 1.415%

    No Known Activations