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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. 19068
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    Explanations

    phrases related to specific entities, such as "General Assembly" or "General Motors"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "General" in various contexts

    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
    ï¸
    -0.96
    bley
    -0.85
    nown
    -0.76
    gypt
    -0.69
    ologies
    -0.69
    pher
    -0.69
    ÄŁ
    -0.66
    ELF
    -0.65
    TOP
    -0.64
    NF
    -0.64
    POSITIVE LOGITS
    izations
    1.11
    isations
    0.92
     Electric
    0.92
    ization
    0.88
     Dynamics
    0.85
    isation
    0.83
     Motors
    0.81
     Purpose
    0.79
    ized
    0.77
     Election
    0.75
    Activations Density 0.022%

    No Known Activations