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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. 1-RES-JB
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    Explanations

    numerical estimates or values

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "estimates"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Interstitial
    -0.84
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    -0.76
    Else
    -0.76
    ï¸
    -0.76
    vous
    -0.72
    NetMessage
    -0.71
    woods
    -0.70
    soever
    -0.70
    spr
    -0.69
    nic
    -0.68
    POSITIVE LOGITS
     estimates
    1.36
     estimate
    1.16
     Estimates
    1.06
     estimating
    1.01
    imates
    0.96
     estimated
    0.94
     estimation
    0.92
     estim
    0.88
     forecasts
    0.87
    imate
    0.84
    Activations Density 0.011%

    No Known Activations