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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. 7-RES-JB
    11. 10055
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    Explanations

    words related to stability and consistency

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to stability and consistency

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ograp
    -0.78
    ographies
    -0.71
    esters
    -0.70
    sbm
    -0.70
    vernment
    -0.69
    hig
    -0.68
    ãģ®æ
    -0.68
    haps
    -0.67
    orney
    -0.67
    ificantly
    -0.66
    POSITIVE LOGITS
     isot
    1.01
     Stability
    0.87
    mate
    0.87
     equilibrium
    0.84
    mates
    0.82
     stabilization
    0.81
     unstable
    0.79
     stability
    0.76
     stable
    0.72
     instability
    0.72
    Activations Density 0.033%

    No Known Activations