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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 4877
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    Explanations

    phrases mentioning a specific acronym (PL) followed by a number

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific group or organization known as the PLO

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

    No Comments

    Negative Logits
    ansas
    -0.84
    ria
    -0.82
    Downloadha
    -0.81
    real
    -0.78
    lia
    -0.78
    wid
    -0.78
    rians
    -0.74
    hide
    -0.73
    rian
    -0.72
    sem
    -0.72
    POSITIVE LOGITS
    ACE
    0.98
    ATE
    0.95
    OSS
    0.95
    OY
    0.93
    OAD
    0.92
    INK
    0.92
    OGR
    0.91
    AIN
    0.89
    ANC
    0.89
    AST
    0.88
    Activations Density 0.007%

    No Known Activations