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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. 22707
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    Explanations

    phrases relating to news reports and police activities

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to law enforcement and police activities

    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
     Whilst
    -0.76
    colour
    -0.68
    cellence
    -0.67
    reetings
    -0.66
    Firstly
    -0.64
     whilst
    -0.64
     tremend
    -0.64
     splend
    -0.60
     insidious
    -0.60
     despicable
    -0.58
    POSITIVE LOGITS
     meanwhile
    1.07
     also
    1.03
     afterward
    0.93
     later
    0.92
     however
    0.86
     additionally
    0.85
     therefore
    0.83
     declined
    0.80
     thereafter
    0.79
     subsequently
    0.78
    Activations Density 1.093%

    No Known Activations