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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. 13526
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    Explanations

    words related to being inclined or susceptible to a certain condition or behavior

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate a tendency or susceptibility to certain conditions or events

    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
    tein
    -0.87
    ACA
    -0.75
     CLSID
    -0.69
    REAM
    -0.66
    OTOS
    -0.66
    ILE
    -0.65
    ZA
    -0.64
    iolet
    -0.64
    RAFT
    -0.64
    âĸijâĸij
    -0.63
    POSITIVE LOGITS
    entimes
    1.09
     prone
    1.02
    theless
    0.81
     confir
    0.80
     encount
    0.76
     challeng
    0.76
     condem
    0.76
     releg
    0.75
    ashtra
    0.74
     tremend
    0.74
    Activations Density 0.004%

    No Known Activations