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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. 23829
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    Explanations

    phrases related to sources or origins

    oai_token-act-pair · gpt-3.5-turbo

    references to "the" in different contexts

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ocument
    -0.79
     anew
    -0.67
    olicy
    -0.67
    zon
    -0.67
    agu
    -0.66
    merce
    -0.65
    amera
    -0.65
    Layer
    -0.65
    ooth
    -0.64
    nesday
    -0.63
    POSITIVE LOGITS
     outset
    1.48
     standpoint
    1.17
     aforementioned
    1.08
     depths
    1.02
     same
    1.02
     onset
    0.98
     earliest
    0.95
     perspective
    0.93
     confines
    0.92
     wreckage
    0.91
    Activations Density 0.165%

    No Known Activations