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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. 4-RES-JB
    11. 2307
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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 @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    externalActionCode
    -0.77
     Incarnation
    -0.74
     ANGEL
    -0.74
     Leilan
    -0.71
    earchers
    -0.70
    CHO
    -0.67
    ADRA
    -0.65
    SAY
    -0.65
    ansas
    -0.65
     Goo
    -0.64
    POSITIVE LOGITS
    inent
    1.45
    onso
    1.10
    urbed
    1.08
    ipes
    1.05
    urb
    0.93
    ritional
    0.90
    rey
    0.90
    inence
    0.88
    iful
    0.87
    ament
    0.87
    Activations Density 0.008%

    No Known Activations