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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. 23665
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    Explanations

    phrases related to position or location, particularly involving placings or placements

    oai_token-act-pair · gpt-3.5-turbo

    terms related to positioning or location, particularly in contexts involving lists or representations

    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
     Sachs
    -0.69
    Ô
    -0.67
    ãģ®éŃĶ
    -0.65
     Annotations
    -0.65
    ÄŁ
    -0.64
    FINEST
    -0.63
    NESS
    -0.63
    heimer
    -0.63
    ILY
    -0.62
     Chronicle
    -0.59
    POSITIVE LOGITS
    ements
    1.23
    ental
    1.09
    ently
    1.00
    atos
    0.99
    idity
    0.95
    ename
    0.95
    orescence
    0.95
    ating
    0.93
    atron
    0.92
    oids
    0.91
    Activations Density 0.027%

    No Known Activations