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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. 10-RES-JB
    11. 6907
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    Explanations

    phrases related to explaining or breaking down information step by step

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to analysis and breakdown of topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    utm
    -0.69
    taboola
    -0.67
     Suffolk
    -0.62
     Canaveral
    -0.59
    liam
    -0.58
    emale
    -0.58
    anamo
    -0.57
    igel
    -0.57
    entimes
    -0.56
    boro
    -0.56
    POSITIVE LOGITS
    Firstly
    1.07
     ðŁĻĤ
    1.02
    âĢ¦..
    0.99
     :)
    0.99
     basics
    0.98
    :-
    0.95
     ;)
    0.95
    .:
    0.94
    âĢ¦.
    0.93
    !:
    0.92
    Activations Density 0.379%

    No Known Activations