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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. 11-RES-JB
    11. 21819
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    Explanations

    words related to emotions and personal experiences

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to complex emotional experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ``
    -1.51
    Âł
    -1.37
    ³³³
    -1.24
     ``
    -1.17
    ³³
    -1.15
    ````
    -1.07
    `.
    -1.05
    `,
    -1.04
    ³³³³
    -1.00
    ³³³³³³³³
    -0.99
    POSITIVE LOGITS
     —
    2.61
     âĢķ
    1.45
     ÂŃ
    1.33
     âĢ¦
    1.23
    ÂŃ
    1.12
     pic
    1.11
     »
    1.06
     (@
    1.06
    Enlarge
    1.00
     ðŁĺ
    0.97
    Activations Density 1.026%

    No Known Activations