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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. 6-RES-JB
    11. 24455
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ħĭ
    -0.93
    âķIJâķIJ
    -0.72
     Continued
    -0.70
    eer
    -0.69
    ĪĴ
    -0.69
    @#&
    -0.68
    66666666
    -0.65
    OOL
    -0.65
    aneous
    -0.65
     FSA
    -0.63
    POSITIVE LOGITS
    itas
    1.26
    itating
    1.24
    estones
    1.12
    ities
    1.10
    itation
    1.04
    itates
    1.04
    itate
    1.03
    itated
    1.03
    estone
    1.03
     grav
    0.94
    Activations Density 0.016%

    No Known Activations