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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. 20129
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    Explanations

    names or terms related to excitement or admiration

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the term "Raptor" and related variations, as well as other themes of excitement or engagement

    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
     Mandela
    -0.78
     Drawn
    -0.72
    FAULT
    -0.71
    ACP
    -0.69
     Webb
    -0.68
    çĶ°
    -0.67
    BOX
    -0.66
     Gupta
    -0.65
    ++++++++++++++++
    -0.64
    FINE
    -0.62
    POSITIVE LOGITS
    rophe
    1.13
     Rapt
    1.11
    urous
    1.02
    yss
    1.00
    ure
    0.90
    itude
    0.90
    ocity
    0.88
    unia
    0.87
    itudes
    0.84
    uron
    0.80
    Activations Density 0.016%

    No Known Activations