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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. 9-RES-JB
    11. 20785
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    Explanations

    phrases related to achieving success or winning

    oai_token-act-pair · gpt-3.5-turbo

    references to "victory" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    asus
    -0.78
    effic
    -0.75
    ridges
    -0.72
    Factor
    -0.69
     pores
    -0.67
     needles
    -0.64
    gon
    -0.61
    umin
    -0.58
     liking
    -0.58
    minecraft
    -0.57
    POSITIVE LOGITS
    antly
    0.96
    alist
    0.87
     lap
    0.85
    cry
    0.77
    ANCE
    0.73
     victory
    0.69
    ceed
    0.69
     Speech
    0.69
    hower
    0.68
    axe
    0.68
    Activations Density 0.046%

    No Known Activations