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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. 1-RES-JB
    11. 22585
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    INDEX
    Explanations

    instances of the word "Coul" or related variations

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and specific geographical references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ngth
    -0.81
    utherford
    -0.67
    EGIN
    -0.61
     Papa
    -0.60
     Taste
    -0.60
     Ascension
    -0.60
     [*]
    -0.60
     Doodle
    -0.59
     Grip
    -0.59
     Beware
    -0.58
    POSITIVE LOGITS
    roph
    1.13
    ivities
    0.98
    rator
    0.96
    inct
    0.94
    iple
    0.93
    ration
    0.91
    ravel
    0.90
    ĥ
    0.87
    rament
    0.86
    ropolis
    0.86
    Activations Density 0.018%

    No Known Activations