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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. 2-RES-JB
    11. 9520
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    Explanations

    the word "ser" followed by a number, potentially as part of a series or list

    oai_token-act-pair · gpt-3.5-turbo

    words related to services or sacrificial themes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    INGTON
    -0.80
    ORE
    -0.76
    ORED
    -0.75
    ITNESS
    -0.72
    hetti
    -0.72
    å¯
    -0.72
    OWS
    -0.71
     Parkinson
    -0.70
    ORN
    -0.70
     Allies
    -0.69
    POSITIVE LOGITS
    geant
    1.09
     confir
    1.02
     ser
    0.93
     encount
    0.88
    ials
    0.88
    iffs
    0.86
     tyr
    0.85
    itage
    0.85
    ogly
    0.85
    iatrics
    0.80
    Activations Density 0.005%

    No Known Activations